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Xuanyan Zhong; Zehui Zhan – Interactive Technology and Smart Education, 2025
Purpose: The purpose of this study is to develop an intelligent tutoring system (ITS) for programming learning based on information tutoring feedback (ITF) to provide real-time guidance and feedback to self-directed learners during programming problem-solving and to improve learners' computational thinking. Design/methodology/approach: By…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming, Independent Study
Costley, Jamie – Interactive Technology and Smart Education, 2020
Purpose: This study aims to look at the relationship between extraneous cognitive load and germane cognitive load and how the use of cognitive learning strategies might moderate the relationship. Design/methodology/approach: This present study used survey data (n = 440) from randomly selected students taking large online classes in South Korea.…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Learning Strategies
Ho, Nguyen Thi Thao; Sivapalan, Subarna; Pham, Hiep Hung; Nguyen, Lan Thi Mai; Pham, Anh Thi Van; Dinh, Hung Viet – Interactive Technology and Smart Education, 2021
Purpose: By using a technology acceptance model (TAM) on survey results collected from two member schools of a Vietnamese educational institution, this study aims to uncover the key factors that affect students' acceptance of e-learning during the COVID-19 period. Design/methodology/approach: A bilingual questionnaire in English and Vietnamese was…
Descriptors: Foreign Countries, COVID-19, Pandemics, Educational Technology
Hughes, Christopher; Costley, Jamie; Lange, Christopher – Interactive Technology and Smart Education, 2018
Purpose: The paper aims to examine the effect of levels of self-regulated effort (SRE) and levels of cognitive load on the watching and completing of video lectures used as the main source of instruction in online learning environments. Design/methodology/approach: A survey provided data on the students' engagement with video lectures, their level…
Descriptors: Self Management, Difficulty Level, Video Technology, Lecture Method
Zwain, Ammar Abdulameer Ali – Interactive Technology and Smart Education, 2019
Purpose: This study aims to expand the Unified Theory of Acceptance and Use of Technology (UTAUT2) by exploring the effect of two new predictors: technological innovativeness and information quality, along with the learning value and the original determinants that influence faculty and students' acceptance of the Moodle-Learning Management System.…
Descriptors: Predictor Variables, Educational Technology, Technology Uses in Education, Integrated Learning Systems
Costley, Jamie – Interactive Technology and Smart Education, 2019
Purpose: As online learning has become more prevalent, how learners interact with each other in those learning environments has become more salient. To develop effective levels of interaction, students must feel comfortable to express their ideas and views. For this reason, this paper aims to look at how individual students' levels of social…
Descriptors: Cognitive Processes, Difficulty Level, Correlation, Interaction