Nowadays, we are surrounded by artifacts that are capable of adaptive behavior, such as electric pots, boiler timers, automatic doors, and robots. The literature concerning human beings’ conceptions of “traditional” artifacts is vast, however, little is known about our conceptions of behaving artifacts, nor of the influence of the interaction with such artifacts on cognitive development, especially among children. Since these artifacts are provided with an artificial “mind,” it is of interest to assess whether and how children develop a Theory of Artificial Mind (ToAM) which is distinct from their Theory of Mind (ToM). The study examined a new theoretical scheme named ToAM (Theory of Artificial Mind) by means of qualitative and quantitative methodology among twenty four 5-7 year old children from central Israel. It also examined the effects of interacting with behaving artifacts (constructing versus observing the robot’s behavior) using the “RoboGan” interface on children’s development of ToAM and their ToM and looked for conceptions that evolve among children while interacting with behaving artifacts which are indicative of the acquisition of ToAM. In the quantitative analysis it was found that the interaction with behaving artifacts, whether as observers or constructors and for both age groups, brought into awareness children’s ToM as well as influenced their ability to understand that robots can behave independently and based on external and environmental conditions. In the qualitative analysis it was found that participating in the intervention influenced the children’s ToAM for both constructors and for the younger observer. Engaging in building the robot’s behavior influenced the children’s ability to explain several of the robots’ behaviors, their understanding of the robot’s script-based behavior and rule-based behavior and the children’s metacognitive development. The theoretical and practical importance of the study is discussed.

Students of Ethiopian origin belong to one of the weakest sectors in the Jewish population of Israel. During their studies they have to deal with social alienation, cultural gaps, economic hardships, and racial stereotypes which reduce their chances to successfully complete their academic degree. In this respect, the present research asks whether online social media could provide those youngsters with tools and resources for their better social integration and adaptation to the academic life. For this purpose, the study was conducted in one of Israel’s largest academic colleges while adopting a design-based research approach, which advanced gradually on a continuum between ‘ambient’ and ‘designed’ technology-enhanced learning communities. The interventions applied for this study aimed at examining how they may encourage students of Ethiopian origin to expand their activities in the online social learning groups. The findings indicate that the main pattern of students of Ethiopian origin online participation was peripheral and limited to viewing only. Nevertheless, the level of their online activity has been improved after a series of two interventions, which also led to a slight improvement in indicators of their social integration and in a change in their usage of online learning groups from social to academic uses.

This study seeks to explore what factors influence students’ ICT use and web technology competence. The objectives of this study are the following: (a) To what extent do certain elements of Rogers’ (2003) Diffusion of Innovations Theory (DOI) explain students’ ICT use, (b) To what extent do personality characteristics derived from the Big Five approach explain students’ ICT use, and (c) To what extent does motivation explain students’ ICT use. The research was conducted in Israel during the second semester of the academic year 2013-14, and included two groups of participants: a group of Educational Technology students (ET) and a group of Library and Information Science students (LIS). Findings add another dimension to the importance of Rogers’ DOI theory in the fields of Educational Technology and Library and Information Science. Further, findings confirm that personality characteristics as well as motivation affect ICT use. If instructors would like to enhance students’ ICT use, they should be aware of individual differences between students, and they should present to students the advantages and usefulness of ICT, thus increasing their motivation to use ICT, in the hopes that they will become innovators or early adopters.

The seventh issue of the Interdisciplinary Journal of e-Skills and Lifelong Learning (IJELL- formerly Interdisciplinary Journal of E-Learning and Learning Objects - IJELLO) special series includes a selection of best papers presented at the 10th Chais Conference for the Study of Innovation and Learning Technologies: Learning in the Technological Era. The Chais conference 2015 was held at The Open University of Israel, Raanana, Israel, on February 10-11, 2015, and was organized by its Research Center for Innovation in Learning Technologies. This preface presents the mission and activities of the Research Center for Innovation in Learning Technologies at the Open University of Israel. It describes the objectives and themes of the Chais conference 2015, explains the special series synergies with IJELL and the Informing Science Institute, chronicles the topics that have been published in the series, and introduces the papers included in this special selection.

Campus discovery is an important feature of a university student induction process. Approaches towards campus discovery differ from course to course and can comprise guided tours that are often lengthy and uninspiring, or self-guided tours that run the risk of students failing to complete them. This paper describes a campus self-discovery induction game (Geospatial Crypto Reconnaissance) which aims to make students aware of campus resources and facilities, whilst at the same time allowing students to make friends and complete the game in an enthusing and exciting way. In this paper we describe the game construct, which comprises of a location, message, and artefact, and also the gameplay. Geospatial Crypto Reconnaissance requires students to identify a series of photographs from around the campus, to capture the GPS coordinates of the location of the photograph, to decipher a ciphered message and then to return both the GPS coordinates and the message for each photograph, proving that the student has attended the location. The game had a very high satisfaction score and we present an analysis of student feedback on the game and also provide guidance on how the game can be adopted for less technical cohorts of students.

ICT (Information and Communication Technologies) in teacher education poses new challenges to faculty and students. This study was carried out to examine factors facilitating and hindering ICT implementation in teacher education institutes in Israel. Findings from our study, administered at two points in time, revealed that providing technological-pedagogical support to teacher educators and their perceptions and beliefs regarding ICT usage were consistent with being either facilitating or hindering factors in the integration process in colleges of education. Professional development of teacher educators in ICT skills and guidance in applying advanced technologies are additional facilitating factors. Resources, mainly time and infrastructure, were mostly a hindering factor with adverse influence on ICT integration. Three levels of successful ICT integration indicated successful implementation: teacher educators’ level, students in their practice, and the organization level in terms of policy.

The characteristics of successful MOOCs were explored in this study. Thousands of student reviews regarding five xMOOCs (Massive Open Online Course) in the fields of software, science, and management were extracted from the Coursetalk website and analyzed by quantitative and qualitative methods using the Garrison, Anderson, and Archer (2000) Community of Inquiry (CoI) model. The 14 characteristics found to contribute to the success of MOOCs (e.g., teacher, atmosphere, exercise) were partitioned into the teaching, social, and cognitive presence elements. In addition, cluster analysis revealed five types of learners, based on the characteristics they mentioned for course success: atmosphere, exercise, teacher, exam, and unspecified. This divides learners into groups that may prefer social, cognitive, or teaching presence. The findings of this study negate the perception that xMOOCs mostly contain teaching presence elements. This research contributes to the understanding of characteristics that contribute to successful MOOCs and sheds light on the students, too. Listening to the voices of the students and the types of characteristics that they chose to mention, enables further exploration of their preferences and expectations regarding MOOCs and, accordingly, to future adaptation between students’ preferences and MOOC characteristics.

This is a five-year study conducted with junior high school students studying in a 1:1-laptop program in order to test the effects of the program on various measures related to the students: their attitudes, motivation, perceived school norms, self-efficacy, and behavioral intention towards learning with laptops, according to the Theory of Planned Behavior (TPB). These variables were tested at two dimensions: ‘duration of learning’ – the effect of learning in the program on the same students; ‘duration of program in school’ – the effect of the program on different students in different school years. Participants (N=770) answered a questionnaire structured according to motivational and TPB variables. Findings show that attitudes changed over time, but differently for each dimension. For the ‘duration of learning’, attitudes declined between 7th to 9th grade. Structural equation modeling analysis showed that students’ attitudes and self-efficacy explain part of their intention to learn with laptops, therefore ways of maintaining positive attitudes, self-efficacy, and strengthening school norms should be considered. However, for the ‘duration of program in school’, students’ attitudes increased over the years: The attitudes of students who started the program at a later stage were more positive than those who began earlier. This may indicate that students who experience the program at an advanced stage are better prepared, with more realistic expectations. Findings can assist teacher trainers and policymakers with the implementation of similar programs.

This preface presents the papers included in the eighth issue of the Interdisciplinary Journal of e-Skills and Lifelong Learning (IJELL) special series of selected Chais Conference best papers. The Chais Conference for the Study of Innovation and Learning Technologies: Learning in the Technological Era, is organized annually by the Research Center for Innovation in Learning Technologies, The Open University of Israel. The 11th Chais Conference was held at The Open University of Israel, Raanana, Israel, on February 16-17, 2016.

MOOCs are open, online courses that use information technologies to enhance the learning experience and attract various people from the entire world. The current study uses the Technology Acceptance Model (TAM), as well as personal characteristics such as learning strategies, cognitive appraisal, and Kuhlthau’s (1991) model of information seeking as theoretical bases for defining factors that may influence students adopting MOOCs in their learning process, as well as describe their feelings during the learning process. The study was conducted in Israel during the 2014 academic year, and used both quantitative and qualitative techniques and involved 102 students who participated in a MOOC as part of the requirements in an offline course. They were requested to keep study diaries. The quantitative analysis revealed that perceived usefulness (PU) and perceived ease of use (PEOU) have a major influence on the intention to enroll in a MOOC. PEOU can be increased by improving the current MOOC platforms. PU can also be improved by providing content that suits the students’ needs. The qualitative analysis showed mood changes over time; the feelings of uncertainty were replaced by expressions of confidence. We found that students have different needs and expectations. Therefore, the MOOC’s platforms should provide multiple options to accommodate these needs.

In today’s job market, computer skills are part of the prerequisites for many jobs. In this paper, we report on a study of readiness to work with computers (the dependent variable) among unemployed women (N=54) after participating in a unique, web-supported training focused on computer skills and empowerment. Overall, the level of participants’ readiness to work with computers was much higher at the end of the course than it was at its begin-ning. During the analysis, we explored associations between this variable and variables from four categories: log-based (describing the online activity); computer literacy and experience; job-seeking motivation and practice; and training satisfaction. Only two variables were associated with the dependent variable: knowledge post-test duration and satisfaction with content. After building a prediction model for the dependent variable, another log-based variable was highlighted: total number of actions in the course website along the course. Overall, our analyses shed light on the predominance of log-based variables over variables from other categories. These findings might hint at the need of developing new assessment tools for learners and trainees that take into consideration human-computer interaction when measuring self-efficacy variables.

As a result of the rapid development of Information and Communication Technology (ICT) and the growing interest in Internet-based tools for language classroom, it has become a pressing need for educators to locate, evaluate and select the most appropriate language-learning digital resources that foster more communicative and meaningful learning processes. Hence, this paper describes a mixed research project that, on the first hand, aimed at proposing a Checklist for evaluating language websites built on the principles of the Communicative Approach, and on the second hand, sought to strengthen the teachers’ Knowing-how-to-do skill as part of their digital competence. To achieve these goals, a four-phase research procedure was followed that included reviewing relevant literature and administering qualitative and quantitative research methods to participants (i.e., language teachers, an expert in the Computer-Assisted Language Learning (CALL) field and a college professor) in order to gain insights into problematic issues and, thereafter, to contribute to the creation and validation of the Checklist model and the Study Guide. The findings revealed that: (a) evaluating language websites leads to the enhancement of the teachers’ practical skills and their knowledge of the technological language; and (b) having an assessment instrument allows educators to choose the materials that best meet their communicative teaching purposes.

The purpose of this research is the exploration of the opinions and level of self-efficacy in the usage of Information Communication Technologies (ICTs) of teachers in Greek pre-schools in the learning process and administration of nurseries. By using the term “usage and utilisation of ICTs in the learning process” we mean the utilisation of the capabilities that new technologies offer in an educationally appropriate way so that the learning process yields positive results. By using the term “self-efficacy” we describe the strength of one’s belief in one’s own ability to use the capabilities he or she possess. In this way, the beliefs of the person in his or her ability to use a personal computer constitute the self-efficacy in computer usage. The research sample consists of 128 pre-school teachers that work in the prefecture of Kavala. Kavala’s prefecture is a representative example of an Education Authority since it consists of urban, suburban, and rural areas. The approach that is deemed to be the most appropriate for the exploration of such research questions is content analysis methodology and correlation analysis. The main findings of the study have shown statistically significant differences regarding the opinions and stances of the pre-school teachers for the introduction of the ICTs in the administration and the usage and utilisation of ICTs in the administration and preparation of teaching. Lastly, there were statistically significant differences between the opinions and stances of the pre-school teachers for the usage and utilisation of ICTs in the learning process. Instead, there were no statistically significant differences regarding the level of self-efficacy of the pre-school teachers in the usage and utilisation of the ICTs in the learning process. The research results could be used in the educational field as well as by Greek Ministry of Education, Research and Religious Affairs in order to take any corrective action, after the effort of Greek Ministry of Education, Research and Religious Affairs, to integrate ICT in the learning process with training courses since 2006.

Aim/Purpose: This study examines the impact of the Israeli National Program on pre-service teachers’ skills in the integration of ICT in teaching and discusses the influential factors of successful implementation of practices in the field. Background: In the current Information Age, many countries relate to education as an im-portant factor for national growth. Teacher education plays a significant role in coping with the challenge of educating a new generation of school students to compete in a technology-driven society. In 2011, the Israel Ministry of Education initiated the National Program for transforming teacher education colleges to meet the demands of the 21st century. Methodology: The study focuses on two research questions: (1) What was the impact of the National Program on pre-service teacher training concerning the integration of ICT in their teaching? (2) What are the predictors of the pre-service teachers’ practice of ICT integration in teaching? It is a quantitative study, based on data collected in two rounds two years apart that compares several indices of pre-service teachers’ preparation to teach with ICT. Contribution: The findings offer insights regarding influential factors of successful integration of ICT in education. Findings: Analyses showed a significant increase in most of the indices of teacher training according to the National Program, in particular in the number of ICT-based lessons that pre-service teachers taught in their teaching practice at schools. Predictors of ICT integration in teaching were modeling by faculty members and school mentor teachers, the number of ICT-based lessons taught by pre-service teachers, and pre-requisite conditions at schools and colleges. Recommendations for Practitioners: The current challenge is to promote innovative ICT-based teaching methods among teacher educators, school teacher mentors, and pre-service teachers. Recommendation for Researchers: The findings underscore the importance of modelling by the school mentors as well as pre-requisite conditions at schools. Impact on Society: Being acquainted with the most influential factors of successful integration of ICT in teaching by pre-service teachers can improve teacher education as well as the education system in educating future generations. Future Research: More research is needed to learn about the dissemination of innovative models of ICT integration in teaching by pre-service teachers and their educators.

Aim/Purpose: This preface presents the papers included in the ninth issue of the Interdisciplinary Journal of e-Skills and Lifelong Learning (IJELL) special series of selected Chais Conference best papers. Background: The Chais Conference for the Study of Innovation and Learning Technologies: Learning in the Technological Era, is organized by the Research Center for Innovation in Learning Technologies, The Open University of Israel. The 12th Chais Conference was held at The Open University of Israel, Raanana, Israel, on February 14-15, 2017. Each year, selected papers of the Chais conference are expanded and published in IJELL. Methodology: A qualitative conceptual analysis of the themes and insights of the papers included in the ninth selection of IJELL special series of selected Chais Conference best papers. Contribution: The presentation of the papers of this selection emphasizes their novelty, as well as their main implications, describes current research issues, and chronicles the main themes within the discourse of learning technologies research, as reflected at the Chais 2017 conference. Findings: Contemporary research goes ‘beyond the walls of the classroom’ and investigates systemic and pedagogical aspects of integrating learning technologies in education on a large scale. Recommendation for Researchers: Researchers are encouraged to investigate broad aspects of seizing the opportunities and overcoming the challenges of integrating innovative technologies in education. Impact on Society: Effective application of learning technologies has a major potential to improve the well-being of individuals and societies. Future Research: The conceptual analysis of contemporary main themes of innovative learning technologies may provide researchers with novel directions for future research on various aspects of the effective utilization of learning technologies.

Aim/Purpose: The teaching solution presented in this paper was implemented to overcome the common problems encountered by authors during years of practice of applied business studies teaching. Background: In our school, we have deep multicultural environments where both teachers and students are coming from different countries and cultures. The typical problems encountered with students include: not reading the case studies, language problems, different backgrounds and cultures, a different understanding of leadership in teamwork related to various management traditions, lack of student participation, and engagement in teamwork. Methodology : The above problems were solved on the basis of the novelty use of several tools usually used separately: a combination of case studies with visualization and current representation of knowledge related to the case study. The visualization context is provided by “rich picture” (as a part of SSM methodology) to create a shared understanding among students. Another ingredient of the proposed solution is based on Pacific storytelling tradition and the Pacific methodology of solving problems. Contribution: It was suggested the new delivery model strengthening advantages of case studies. Findings: Studies and surveys made from 2009 to the present are promising. There is a visible improvement in students’ grades and observed changes in students’ behavior toward more active in-class participation. Recommendations for Practitioners: This paper focuses on implementation and technical aspects of the presented method. However, the application of the presented method needs robust and time-consuming preparation of the teacher before the class. Recommendation for Researchers: The current results show that the proposed method has the potential to improve students’ experience in applied business courses. The project is ongoing and will undergo progressive changes while collecting new experiences. The method may be applied to other types of courses. By focusing on the storytelling and rich picture, we avoid technological bias when we teach business problem-solving. We focus instead on teaching students the social-organizational interactions influencing the problem solution. Impact on Society: Implementing of cultural sensitivity into the teaching process. Making teaching process more attractive for multicultural students. Future Research: Reducing teacher overload when using the method presented by the development of computerized tools. This is undergoing through utilizing Unreal Engine. Also, it is planned to enhance our team by artists and designers related to computer games.

Aim/Purpose: These days educators are expected to integrate technological tools into classes. Although they acquire relevant skills, they are often reluctant to use these tools. Background: We incorporated online forums for generating a Community of Inquiry (CoI) in a faculty development program. Extending the Technology, Pedagogy, and Content Knowledge (TPACK) model with Assessment Knowledge and content analysis of forum discourse and reflection after each CoI, we offer the Diagnostic Tool for Learning, Assessment, and Research (DTLAR). Methodology: This study spanned over two cycles of a development program for medical faculty. Contribution: This study demonstrates how the DTLAR supports in-depth examination of the benefits and challenges of using CoIs for learning and teaching. Findings: Before the program, participants had little experience with, and were reluctant to use, CoIs in classes. At the program completion, many were willing to adopt CoIs and appreciated this method’s contribution. Both CoIs discourse and reflections included positive attitudes regarding cognitive and teacher awareness categories. However, negative attitudes regarding affective aspects and time-consuming aspects of CoIs were exposed. Participants who experienced facilitating a CoI gained additional insights into its usefulness. Recommendations for Practitioners : The DTLAR allows analyzing adaption of online forums for learning and teaching. Recommendation for Researchers: The DTLAR allows analyzing factors that affect the acceptance of online fo-rums for learning and teaching. Impact on Society : While the tool was implemented in the context of medical education, it can be readily applied in other adult learning programs. Future Research: The study includes several design aspects that probably affected the improve-ment and challenges we found. Future research is called for providing guidelines for identifying boundary conditions and potential for further improvement.

Aim/Purpose: This paper presents some of the issues that academia faces in both the detection of plagiarism and the aftermath. The focus is on the latter, how academics and educational institutions around the world can address the challenges that follow the identification of an incident. The scope is to identify the need for and describe specific strategies to efficiently manage plagiarism incidents. Background: Plagiarism is possibly one of the major academic misconduct offences. Yet, only a portion of Higher Education Institutes (HEIs) appear to have well developed policies and procedures aimed at dealing with this issue or to follow these when required. Students who plagiarize and are not caught pose challenges for academia. Students who are caught pose equal challenges. Methodology: Following a literature review that identifies and describes the extent and the seriousness of the problem, procedures and strategies to address the issue are recommended, based on the literature and best practices. Contribution: The paper alerts academics regarding the need for the establishment of rigorous and standardized procedures to address the challenges that follow the identification of a plagiarism incident. It then describes how to streamline the process to improve consistency and reduce the errors and the effort required by academic staff. Recommendations for Practitioners: To ensure that what is expected to happen takes place, HEIs should structure the process of managing suspected plagiarism cases. Operationalization, workflow automation, diagrams that map the processes involved, clear in-formation and examples to support and help academics make informed and consistent decisions, templates to communicate with the offenders, and data-bases to record incidents for future reference are strongly recommended. Future research: This paper provides a good basis for further research that will examine the plagiarism policy, the procedures, and the outcome of employing the procedures within the faculties of a single HEI, or an empirical comparison of these across a group of HEIs. Impact on Society: Considering its potential consequences, educational institutions should strive to prevent, detect, and deter plagiarism – and any type of student misconduct. Inaction can be harmful, as it is likely that some students will not gain the appropriate knowledge that their chosen profession requires, which could put in danger both their wellbeing and the people they will later serve in their careers.

Aim/Purpose: This study examines differences in credit and noncredit users’ learning and usage of the Plant Sciences E-Library (PASSEL, http://passel.unl.edu), a large international, open-source multidisciplinary learning object repository. Background: Advances in online education are helping educators to meet the needs of formal academic credit students, as well as informal noncredit learners. Since online learning attracts learners with a wide variety of backgrounds and intentions, it is important understand learner behavior so that instructional resources can be designed to meet the diversity of learner motivations and needs. Methodology: This research uses both descriptive statistics and cluster analysis. The descriptive statistics address the research question of how credit learners differ from noncredit learners in using an international e-library of learning objects. Cluster analysis identifies high and low credit/noncredit students based on their quiz scores and follow-up descriptive statistics to (a) differentiate their usage patterns and (b) help describe possible learning approaches (deep, surface, and strategic). Contribution: This research is unique in its use of objective, web-tracking data and its novel use of clustering and descriptive analytic approaches to compare credit and noncredit learners’ online behavior of the same educational materials. It is also one of the first to begin to identify learning approaches of the noncredit learner. Findings: Results showed that credit users scored higher on quizzes and spent more time on the online quizzes and lessons than did noncredit learners, suggesting their academic orientation. Similarly, high credit scorers spent more time on individual lessons and quizzes than did the low scorers. The most striking difference among noncredit learners was in session times, with the low scorers spending more time in a session, suggesting more browsing behavior. Results were used to develop learner profiles for the four groups (high/low quiz scorers x credit/noncredit). Recommendations for Practitioners: These results provide preliminary insight for instructors or instructional designers. For example, low scoring credit students are spending a reasonable amount of time on a lesson but still score low on the quiz. Results suggest that they may need more online scaffolding or auto-generated guidance, such as the availability of relevant animations or the need to review certain parts of a lesson based on questions missed. Recommendation for Researchers: The study showed the value of objective, web-tracking data and novel use of clustering and descriptive analytic approaches to compare different types of learners. One conclusion of the study was that this web-tracking data be combined with student self-report data to provide more validation of results. Another conclusion was that demographic data from noncredit learners could be instrumental in further refining learning approaches for noncredit learners. Impact on Society: Learning object repositories, online courses, blended courses, and MOOCs often provide learners the option of moving freely among educational content, choosing not only topics of interest but also formats of material they feel will advance their learning. Since online learning is becoming more prolific and attracts learners with a wide variety of backgrounds and intentions, these results show the importance of understanding learner behavior so that e-learning instructional resources can be designed to meet the diversity of learner motivations and needs. Future Research: Future research should combine web-tracking data with student self-report to provide more validation of results. In addition, collection of demographic data and disaggregation of noncredit student usage motivations would help further refining learning approaches for this growing population of online users.

Aim/Purpose: This research inquires how students perceive the role of Technology Education and Cultural diversity (TEC) instructors in improving their 21st century skills. In addition, this study examines the students’ preferred learning style: face to face, synchronous and asynchronous. Background: 21st century skills include, among others, collaboration, Information and Communication Technology (ICT) skills, higher order thinking, and multicultural communication. These skills are core elements for modern life and are the focus of this study as teacher critical career and life skills. This article presents the uniqueness of the TEC model, which provides a strategy to develop gradually various 21st century skills for teacher training in a multicultural technologically rich environment. Methodology: This study examined (a) the level of ICT skills students acquire from the courses; (b) students’ perceptions of the instructor role in developing 21st century skills; and (c) students’ preferred learning style. A questionnaire was delivered to 99 students, who participated in courses based on the TEC model. Students from eight different Teacher Education Colleges and different cultural backgrounds – Arabs, Jews, religious, and secular – participated in this study. Contribution: This study could shed light on the instructor’s role as a facilitator in developing students’ 21st century skills in a multicultural society. This study may provide a model and ideas for policy makers in teacher training programs to employ 21st century skills along with continuous development and adaptation to suit the rapid changing reality. A larger study needed to examine additional aspects of the 21st century skills in the teacher training programs in general and in multicultural societies in particular. Findings: The findings show that students complete the course with a high level of ICT skills, and that their preferred learning communication style was face-to-face (F2F) (45.45%) and blended method (43.43%), over the fully online (11.11%). Regarding online learning, students mostly preferred the mixed method of synchronous and asynchronous (59%), followed by asynchronous (29%), and synchronous (12%). As to student preference of the instructor role of enhancement, the results were prioritized as follow: Higher order thinking (M=3.99), online group collaboration (M=3.87), multicultural communication awareness (M=3.82), pedagogical use of digital tools (M=3.73). Recommendations for Practitioners: Teacher education lecturers ought to: (1) design the online courses in a way that integrates F2F meetings and both synchronous and asynchronous methods; and (2) employ the wide range of skills in TEC courses that comply with 21st century principles; hence, the importance of widening such courses in teacher education colleges. Recommendation for Researchers: It is recommended to perform a similar study using a pre-post method, as well as taking into consideration cultural uniqueness (such as language differences) and group comparison, where we can identify the effective components of the course design that would lead to a higher level of 21st century skills competencies among teachers. Impact on Society: 21st century skills are life skills, hence developing these skills in an appropriate educational setting reflects better utilization among all the members of society. Future Research: More research should be done to widen the knowledge and address the importance of the instructor role as a course designer and facilitator in order to turn 21st century learning into a more meaningful and relevant one.

Aim/Purpose: This study examines the influence of Performance Expectancy (PE), Effort Expectancy (EE), and Facilitating Conditions (FC) on the use of smart phones for mobile learning by postgraduate students in University of Ibadan, Nigeria. Background: Due to the low level of mobile learning adoption by students in Nigeria, three base constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) model were used as factors to determine smart phone use for mobile learning by the postgraduate students in the University of Ibadan. Methodology: The study adopted a descriptive survey research design of the correlational type, the two-stage random sampling technique was used to select a sample size of 217 respondents, and a questionnaire was used to collect data. Descriptive statistics (frequency counts, percentages, mean, and standard deviation), test of norm, and inferential statistics (correlation and regression analysis) were used to analyze the data collected. Contribution: The study empirically validated the UTAUT model as a model useful in predicting smart phone use for mobile learning by postgraduate students in developing countries. Findings: The study revealed that a significant number of postgraduate students used their smart phones for mobile learning on a weekly basis. Findings also revealed a moderate level of Performance Expectancy (???? =16.97), Effort Expectancy (???? =12.57) and Facilitating Conditions (???? =15.39) towards the use of smart phones for mobile learning. Results showed a significant positive relationship between all the independent variables and use of smart phones for mobile learning (PE, r=.527*; EE, r=.724*; and FCs, r=.514*). Out of the independent variables, PE was the strongest predictor of smart phone use for mobile learning (β =.189). Recommendations for Practitioners: Librarians in the university library should organize periodic workshops for postgraduate students in order to expose them to the various ways of using their smart phones to access electronic databases. Recommendation for Researchers: There is a need for extensive studies on the factors influencing mobile technologies adoption and use in learning in developing countries. Impact on Society: Nowadays, mobile learning is increasingly being adopted over conventional learning systems due to its numerous benefits. Thus, this study provides an insight into the issues influencing the use of smart phones for mobile learning by postgraduate students from developing countries. Future Research: This study utilized the base constructs of the UTAUT model to determine smart phone use for mobile learning by postgraduate students in a Nigerian university. Subsequent research should focus on other theories to ascertain factors influencing Information Technology adoption and usage by students in developing countries.

Contribution: This study contributes to scientific literature by detailing the impact of specific factors on the privacy concerns of citizens living in an African city Findings: The findings reveal that the more that impersonal data is collected by the Smart City of Cape Town, the lower the privacy concerns of the digital natives. The findings also show that the digital natives have higher privacy concerns when they express a strong need to be aware of the security measure put in place by the city. Recommendations for Practitioners: Practitioners (i.e., policy makers) should ensure that it is a legal requirement to have security measures in place to protect the privacy of the citizens while collecting data within the smart city of Cape Town. These regulations should be made public to appease any apprehensions from its citizens towards smart city implementations. Less personal data should also be collected on the citizens. Recommendation for Researchers: Researchers should further investigate issues related to privacy concerns in the context of African developing countries. Such is the case since the population of these countries might have unique cultural and philosophical perspectives that might influence how they perceive privacy. Impact on Society: Cities are becoming “smarter” and in developing world context like Africa, privacy issues might not have as a strong influence as is the case in the developing world. Future Research: Further qualitative studies should be conducted to better understand issues related to perceived benefits, perceived control, awareness of how data is collected, and level of privacy concerns of digital natives in developing countries.

Aim/Purpose: The purpose of this paper is to introduce, describe, and document the methods involved in the preparation of a mindset intervention built into a freshmen development course, and established after years of longitudinal research, that is designed to have a positive impact on the outlook, achievement, and persistence of first generation and under-prepared students. Background: A number of studies conducted in the past fifteen years have concluded that grit, the persistence and perseverance to achieve goals, and growth mindset, the belief that skills and intelligence can be developed, are positive predictors of achievement; however, little focus has been placed on the implications at institutions purposed to educate minorities, first generation college students, and learners from diminished socio-economic backgrounds. Methodology: A series of models were created, custom self-assessment scales designed, and a lesson plan prepared purposed to deliver a mindset intervention to edify students about and change perceptions of grit, locus of control/self-efficacy, growth mindset, and goal setting. The mindset intervention, as presented in this paper, was delivered as part of a pilot implementation to students enrolled in a freshmen professional development course at a Mid-Atlantic HBCU in the Fall of 2019. Contribution: This qualitative paper documents an ongoing initiative while providing a workable template for the design and delivery of a mindset intervention that is believed will be highly effective with first generation and socio-economically disadvantaged learners. It represents the third paper in a five paper series. Findings: Prior research conducted by the authors shed light on the need to explore non-cognitive factors that may affect student performance such as grit, mindset, engagement, self-efficacy, and goal setting. The authors postulate that a carefully crafted mindset intervention delivered to freshmen students from traditionally underserved populations attending a minority serving institution in the mid-atlantic region of the United States will yield positive outcomes in terms of student success. Recommendations for Practitioners: As part of a commitment to positive student outcomes, faculty and administrators in higher education must be constantly exploring factors that may, or may not, impact student success. Recommendation for Researchers: Research is needed that explores elements that may help to contribute to the success of under prepared college students, in particular those who are from low income, first generation, and minority groups Impact on Society: Since, mindset interventions have been shown to be particularly effective with underserved students, it stands to reason that they should be adopted widely, and be effective at delivering positive outcomes, at HBCUs Future Research: The authors have introduced the mindset intervention with freshmen business students enrolled in a required professional development course. Results of the self-assessments and reflection questions are being collected and coded. Additionally, students are being administered a survey designed to measure the perceived efficacy of the initiative.

Aim/Purpose: This study aims to explore levels of Technological Access (ownership, access to, and usage of computer devices as well as access to Internet services) and levels of Technological Efficacy (technology related skills) as they pertain to underserved (UNS) and underrepresented (UNR) students. Background: There exists a positive correlation between technology related access, technology related competence, and academic outcomes. An increasing emphasis on expanding online education at the author’s institution, consistent with nationwide trends, means that it is unlikely that just an increase in online offerings alone will result in an improvement in the educational attainment of students, especially if such students lack access to technology and the technology related skills needed to take advantage of online learning. Most studies on levels of Technological Access and Technological Efficacy have dealt with either K-12 or minority populations with limited research on UNS and UNR populations who form the majority of students at the author’s institution. Methodology: This study used a cross-sectional survey research design to investigate the research questions. A web survey was sent to all students at the university except first semester new and first semester transfer students from various disciplines (n = 535). Descriptive and inferential statistics were used to analyze the survey data. Contribution: This research provides insight on a population (UNS and UNR) that is expanding in higher education. However, there is limited information related to levels of Technological Access and Technological Efficacy for this group. This paper is timely and relevant as adequate access to technology and technological competence is critical for success in the expanding field of online learning, and the research findings can be used to guide and inform subsequent actions vital to bridging any educational equity gap that might exist. Findings: A critical subset of the sample who were first generation, low income, and non-White (FGLINW) had significantly lower levels of Technological Access. In addition, nearly half of the survey sample used smartphones to access online courses. Technological Efficacy scores were significantly lower for students who dropped out of or never enrolled in an online course. Transfer students had significantly higher Technological Efficacy scores while independent students (determined by tax status for federal financial aid purposes) reflected higher Technological Efficacy, but at a marginally lower level of significance. Recommendations for Practitioners: Higher education administrators and educators should take into consideration the gaps in technology related access and skills to devise institutional interventions as well as formulate pedagogical approaches that account for such gaps in educational equity. This will help ensure pathways to sustained student success given the rapidly growing landscape of online education. Recommendation for Researchers: Similar studies need to be conducted in other institutions serving UNS and UNR students in order to bolster findings and increase awareness. Impact on Society: The digital divide with respect to Technological Access and Technological Efficacy that impacts UNS and UNR student populations must be addressed to better prepare such groups for both academic and subsequent professional success. Addressing such gaps will not only help disadvantaged students maximize their educational opportunities but will also prepare them to navigate the challenges of an increasingly technology driven society. Future Research: Given that it is more challenging to write papers and complete projects using a smartphone, is there a homework gap for UNS and UNR students that may impact their academic success? What is the impact of differing levels of Technological Efficacy on specific academic outcomes of UNS and UNR students?

Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student’s grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence learning processes, with and without a general overview of the problem that it is under examination. Applying the idea of the general perspective that the network gets on the sentences and deriving recommendations from this for teaching processes. Background: We looked for common patterns of computer errors and human grammar mistakes. Also deducing the neural network’s learning process, deriving conclusions, and applying concepts from this process to the process of human learning. Methodology: We used DL technologies and research methods. After analysis, we built models from three types of complex neuronal networks – LSTM, Bi-LSTM, and GRU – with sequence-to-sequence architecture. After this, we combined the sequence-to- sequence architecture model with the attention mechanism that gives a general overview of the input that the network receives. Contribution: The cost of computer applications is cheaper than that of manual human effort, and the availability of a computer program is much greater than that of humans to perform the same task. Thus, using computer applications, we can get many desired examples of mistakes without having to pay humans to perform the same task. Understanding the mistakes of the machine can help us to under-stand the human mistakes, because the human brain is the model of the artificial neural network. This way, we can facilitate the student learning process by teaching students not to make mistakes that we have seen made by the artificial neural network. We hope that with the method we have developed, it will be easier for teachers to discover common mistakes in students’ work before starting to teach them. In addition, we show that a “general explanation” of the issue under study can help the teaching and learning process. Findings: We performed the test case on the Hebrew language. From the mistakes we received from the computerized neuronal networks model we built, we were able to classify common human errors. That is, we were able to find a correspondence between machine mistakes and student mistakes. Recommendations for Practitioners: Use an artificial neural network to discover mistakes, and teach students not to make those mistakes. We recommend that before the teacher begins teaching a new topic, he or she gives a general explanation of the problems this topic deals with, and how to solve them. Recommendations for Researchers: To use machines that simulate the learning processes of the human brain, and study if we can thus learn about human learning processes. Impact on Society: When the computer makes the same mistakes as a human would, it is very easy to learn from those mistakes and improve the study process. The fact that ma-chine and humans make similar mistakes is a valuable insight, especially in the field of education, Since we can generate and analyze computer system errors instead of doing a survey of humans (who make mistakes similar to those of the machine); the teaching process becomes cheaper and more efficient. Future Research: We plan to create an automatic grammar-mistakes maker (for instance, by giving the artificial neural network only a tiny data-set to learn from) and ask the students to correct the errors made. In this way, the students will practice on the material in a focused manner. We plan to apply these techniques to other education subfields and, also, to non-educational fields. As far as we know, this is the first study to go in this direction ‒ instead of looking at organisms and building machines, to look at machines and learn about organisms.