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See, Zi Siang; Ledger, Susan; Goodman, Lizbeth L.; Matthews, Benjamin; Jones, Donovan; Fealy, Shanna; Ooi, Wooi Har; Amin, Manisha – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: This paper describes a technologies education model for introducing Simulation Learning and Extended Reality (XR) solution creation skills and knowledge to students at the tertiary education level, which is broadly applicable to higher education-based contexts of teaching and learning. Background: This work is made possible via the…
Descriptors: Technology Education, College Students, Models, Educational Technology
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Damasceno, Cristiane S. – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The emergence of massive open online courses (MOOCs) has fostered the creation of co-located learning communities; however, there is limited research on the types of interactions unfolding in these spaces. Background: This study explores Peer 2 Peer University's Learning Circles, a project that allows individuals to take MOOCs…
Descriptors: MOOCs, Student Attitudes, Communities of Practice, Interaction
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Qahl, Mamdouh; Sohaib, Osama – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: This research explores the influence of organizational-level and individual-level creativity and innovation and the technology acceptance model toward the higher education creative environment that consists of research creativity and teaching creativity. Background: Creativity and innovation are essential pillars for higher education…
Descriptors: Educational Environment, Creativity, Higher Education, Educational Innovation
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Delali Kwasi Dake; Godwin Kudjo Bada – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The study focused on learner sentiments and experiences after using the Moodle assessment module and trained a machine learning classifier for future sentiment predictions. Background: Learner assessment is one of the standard methods instructors use to measure students' performance and ascertain successful teaching objectives. In…
Descriptors: Psychological Patterns, Artificial Intelligence, Online Surveys, Technology Integration
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Oyewole, Olawale; Onaolapo, Sodiq – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: This study examines the use of the Emergency Remote Teaching (ERT) platform by undergraduates of the University of Ibadan, Nigeria, during the COVID-19 pandemic using the constructs of the UTAUT2 model. Five constructs of the UTAUT2 model were adopted to investigate the use of the ERT platform by undergraduates of the university.…
Descriptors: Foreign Countries, Distance Education, Undergraduate Students, COVID-19
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Rolando B. Magat – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The study examined how the developed mobile courseware can be used as instructional material to improve senior high school statistics and probability learning, particularly during distance learning caused by the COVID-19 pandemic. The study also aims to assess the gamified mobile courseware's engagement, functionality, aesthetics, and…
Descriptors: Gamification, Statistics Education, Probability, Electronic Learning
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Kanyarat Sriwisathiyakun – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: To explore the effectiveness of utilizing the design thinking approach in developing digital self-directed learning environment to enhance digital literacy skills in Thai higher education. Background: To foster digital literacy skills in higher education, Thai students require more than access to technology. Emphasizing digital…
Descriptors: Foreign Countries, Design, Thinking Skills, Independent Study
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Zinagul Suranchiyeva; Bektas Bostanov; Serik Kenesbayev; Salamat Idrissov; Kuralay Turganbay – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: This study seeks to present a learning model of discrete mathematics elements, elucidate the content of teaching, and validate the effectiveness of this learning in a digital education context. Background: Teaching discrete mathematics in the realm of digital education poses challenges, particularly in crafting the optimal model,…
Descriptors: Electronic Learning, Elective Courses, Mathematics Instruction, Computer Science Education
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Ronal Watrianthos; Selamat Triono Ahmad; Mukhlidi Muskhir – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The purpose of this article is to provide an overview and analysis of the emerging research landscape surrounding the integration of ChatGPT into education. The main problem appears to be that this is a new, rapidly developing research area for which there is no comprehensive synthesis of the current literature. The aim of the article…
Descriptors: Artificial Intelligence, Bibliometrics, Trend Analysis, Educational Research
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Bhati, Narender Singh; Srivastava, Sachin; Rathore, Jaivardhan Singh – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: The study aims to supplement existing knowledge of information systems by presenting empirical data on the factors influencing the intentions of doctoral students to learn through online platforms. Background: E-learning platforms have become popular among students and professionals over the past decade. However, the intentions of the…
Descriptors: Doctoral Students, Intention, Online Courses, Educational Technology
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Mitchell, Alanah; Vaughan, Amy Grace – Journal of Information Technology Education: Innovations in Practice, 2022
Aim/Purpose: The complexity of today's organizational databases highlights the importance of hard technical skills as well as soft skills including teamwork, communication, and problem-solving. Therefore, when teaching students about databases it follows that using a team approach would be useful. Background: Team-based learning (TBL) has been…
Descriptors: Cooperative Learning, Learning Strategies, Undergraduate Students, Database Management Systems
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Alkhalifa, Amal Khalifa; Devlin, Marie; Alkhattabi, Mona – Journal of Information Technology Education: Innovations in Practice, 2022
Aim/Purpose: To encourage students' engagement in peer assessments and provide students with better-quality feedback, this paper describes a technique for author-reviewer matching in peer assessment systems -- a Balanced Allocation algorithm. Background: Peer assessment concerns evaluating the work of colleagues and providing feedback on their…
Descriptors: Authors, Peer Evaluation, Feedback (Response), Algorithms
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Priyanka, Priyanka Gupta; Mehrotra, Deepti – Journal of Information Technology Education: Innovations in Practice, 2022
Aim/Purpose: This paper focuses on designing and implementing the rubric for objective JAVA programming assessments. An unsupervised learning approach was used to group learners based on their performance in the results obtained from the rubric, reflecting their learning ability. Background: Students' learning outcomes have been evaluated…
Descriptors: Objective Tests, Outcomes of Education, Scoring Rubrics, Programming Languages
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Bryce, Jonathan; Thinakaran, Rajermani; Zakaria, Zairul Amri – Journal of Information Technology Education: Innovations in Practice, 2022
Aim/Purpose: The purpose of this research is to determine whether ESL teaching videos as a form of asynchronous online knowledge sharing can act as an aid to ESL learners internalizing knowledge in language acquisition. In this context, internalizing knowledge carries the meaning of being able to remember language, and purposefully and accurately…
Descriptors: Knowledge Management, English (Second Language), Second Language Learning, Second Language Instruction
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Hadj Kacem, Yessine; Alshehri, Safa; Qaid, Talal – Journal of Information Technology Education: Innovations in Practice, 2022
Aim/Purpose: This paper presents a machine learning approach for analyzing Course Learning Outcomes (CLOs). The aim of this study is to find a model that can check whether a CLO is well written or not. Background: The use of machine learning algorithms has been, since many years, a prominent solution to predict learner performance in Outcome Based…
Descriptors: Outcomes of Education, Artificial Intelligence, Educational Assessment, Classification
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