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Di Sun; Gang Cheng; Heng Luo – Interactive Learning Environments, 2024
Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science, MOOCs
Osipenko, Maria – Education and Information Technologies, 2022
A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…
Descriptors: Behavior Patterns, Models, Undergraduate Students, Preferences
Jessica M. Karch; Nicolette M. Maggiore; Jennifer R. Pierre-Louis; Destiny Strange; Vesal Dini; Ira Caspari-Gnann – Science Education, 2024
Small group interactions and interactions with near-peer instructors such as learning assistants serve as fertile opportunities for student learning in undergraduate active learning classrooms. To understand what students take away from these interactions, we need to understand how and what they learn during the moment of their interaction. This…
Descriptors: Teaching Assistants, Interaction, Active Learning, Electronic Learning
Annica Gullberg; Kristina Andersson; Jenny Ivarsson; Henni Söderberg – Journal of Technology Education, 2025
Practical activities are at the core of learning in both engineering and science education programs. Hence, such activities are included as important practical learning experiences in each of these fields. During such learning experiences students are confronted by many different entities, from simple equipment to advanced instrumentation, all of…
Descriptors: Engineering Education, Learning Activities, Psychological Patterns, Learning Processes
Sanchiz, M.; Amadieu, F.; Lemarié, J.; Tricot, A. – Journal of Computing in Higher Education, 2023
Learning with hypertexts require learners to navigate in a non-linear environment and build a coherent representation of the informational content. The expansion of digital technologies and hypertext use in higher education has emphasized the need to examine how technological tools may foster quality learning. This study examined how three types…
Descriptors: Hypermedia, Technology Uses in Education, Instructional Materials, Outcomes of Education
Karahasanovic, Amela; Culén, Alma Leora – Interactive Technology and Smart Education, 2023
Purpose: This study aims to propose a service-dominant logic (S-DL)-informed framework for teaching innovation in the context of human--computer interaction (HCI) education involving large industrial projects. Design/methodology/approach: This study combines S-DL from the field of marketing with experiential and constructivist learning to enable…
Descriptors: Student Projects, Active Learning, Man Machine Systems, Interaction
Essel, Harry Barton; Vlachopoulos, Dimitrios; Tachie-Menson, Akosua; Johnson, Esi Eduafua; Baah, Papa Kwame – International Journal of Educational Technology in Higher Education, 2022
Chatbot usage is evolving rapidly in various fields, including higher education. The present study's purpose is to discuss the effect of a virtual teaching assistant (chatbot) that automatically responds to a student's question. A pretest-posttest design was implemented, with the 68 participating undergraduate students being randomly allocated to…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Teaching Assistants, Undergraduate Students
Liu Liu – Education and Information Technologies, 2025
The study examines the impact of artificial intelligence (AI)-enhanced gamification on learning outcomes and motivation in English as a Foreign Language (EFL) contexts. A mixed-methods approach and quasi-experimental design were employed to compare the effectiveness of three instructional strategies: adaptive learning paths, conversational agents,…
Descriptors: Technology Uses in Education, Artificial Intelligence, Gamification, Second Language Learning
Joel Weijia Lai; Wei Qiu; Maung Thway; Lei Zhang; Nurabidah Binti Jamil; Chit Lin Su; Samuel S. H. Ng; Fun Siong Lim – Journal of Learning Analytics, 2025
The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…
Descriptors: Artificial Intelligence, Computer Software, Learning Analytics, Introductory Courses
Goodman, Sara G.; Moore, Emily – Journal of the Scholarship of Teaching and Learning, 2023
Technology-driven interactions are becoming commonplace, particularly as online classes, telecommuting, and virtual meetings across distances and time zones have all increased in popularity. Platforms such as Google Meet, Skype, Webex, and Zoom use synchronous audio-visual communication supported by text-based chat, emoticon responses, and other…
Descriptors: Web Based Instruction, Computer Mediated Communication, Synchronous Communication, Videoconferencing
Marc A. Zambri; John R. De Backere – Journal of Chemical Education, 2024
Molecular symmetry and orbitals are two important chemical concepts which can be difficult for students to visualize in three dimensions; as such, instructors have traditionally adopted a variety of approaches to teach them including the use of physical models and digital renderings/resources. This paper describes a new mobile device application…
Descriptors: Molecular Structure, Science Education, Chemistry, Handheld Devices
Allsop, Jared; Young, Sarah J.; Nelson, Erik J.; Piatt, Jennifer; Knapp, Doug – International Journal of Teaching and Learning in Higher Education, 2020
The last 35 years have shown a greater interest among higher education professionals to adapt the principles of active learning within the classroom. Active learning, an instructional approach that allows students the opportunity to participate in the process of learning, requires them to do something more than just passively receive instruction.…
Descriptors: Active Learning, Teaching Methods, Undergraduate Students, Lecture Method
Soydas Çakir, Hülya; Akyazi, Erhan – Online Submission, 2021
Interaction is one of the key elements for learning and it also has a significant role in increasing efficiency in e-learning programs. Several studies indicate that high level of learner and content interaction provided by e-learning programs brings learner satisfaction and achievement. During the learning process, content interaction provides an…
Descriptors: Electronic Learning, Online Courses, Course Content, Learning Processes
Benlahcene, Abderrahim; Lashari, Sana Anwar; Lashari, Tahira Anwar; Shehzad, Muhammad Waleed; Deli, Wu – International Journal of Higher Education, 2020
This study investigated students' perception towards language courses using student-centered learning approach at University Utara Malaysia (UUM). Students' perception was measured through a model termed as environmental, cognitive, affective, and metacognitive mediation (ECAM) which is a common teaching and learning technique used in classroom…
Descriptors: Foreign Countries, Student Attitudes, Student Centered Learning, Public Colleges
Ha, Young; Im, Hyunjoo – Online Learning, 2020
The purpose of this study was to examine the effect of interactive online learning tools on college student learning using flow as the guiding perspective. Study 1 was conducted to test the effect of online interactivity manipulated by dynamic visual learning tools on student's flow experience, level of telepresence, actual performance on tests,…
Descriptors: Electronic Learning, Individualized Instruction, Visual Learning, Instructional Effectiveness