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Anita Pásztor-Kovács; Attila Pásztor; Gyöngyvér Molnár – Interactive Learning Environments, 2023
In this paper, we present an agenda for the research directions we recommend in addressing the issues of realizing and evaluating communication in CPS instruments. We outline our ideas on potential ways to improve: (1) generalizability in Human-Human assessment tools and ecological validity in Human-Agent ones; (2) flexible and convenient use of…
Descriptors: Cooperation, Problem Solving, Evaluation Methods, Teamwork
Wang, Yufeng; Fang, Hui; Jin, Qun; Ma, Jianhua – Interactive Learning Environments, 2022
Peer assessment has become a primary solution to the challenge of evaluating a large number of students in Massive Open Online Courses (MOOCs). In peer assessment, all students need to evaluate a subset of other students' assignments, and then these peer grades are aggregated to predict a final score for each student. Unfortunately, due to the…
Descriptors: Supervision, Peer Evaluation, Student Evaluation, Large Group Instruction
Lertnattee, Verayuth; Wangwattana, Bunyapa – Interactive Learning Environments, 2021
In the academic year of 2019, the designed personalized learning and assessment was applied to the fourth-year pharmacy students who registered for the Pharmacognosy Laboratory in the Faculty of Pharmacy, Silpakorn University. We allowed all students to do the experiment as they preferred. We created a personalized assessment that allowed the…
Descriptors: Individualized Instruction, Pharmaceutical Education, Laboratory Equipment, Identification
Pooja Rana; Mithilesh Kumar Dubey; Lovi Raj Gupta; Amit Kumar Thakur – Interactive Learning Environments, 2024
In recent years, the system of student learning and academic emotions has been taken seriously to re-engineer the teaching-learning process at all levels of education. This research paper considers both aspects of assessing the translation of knowledge i.e. qualitative and quantitative. In the current scenario, quantitative and qualitative…
Descriptors: Educational Assessment, Outcomes of Education, Models, Evaluation Methods
Agostino Marengo; Alessandro Pagano; Kamal Ahmed Soomro – Interactive Learning Environments, 2024
Soft skills are interpersonal, communication, and personal attributes that enable individuals to interact effectively with others in personal and workplace settings. Despite the significance of soft skills for career success, these skills are not necessarily taught in traditional academic settings. Consequently, education institutions must adopt…
Descriptors: Game Based Learning, Soft Skills, Student Evaluation, Instructional Effectiveness
Gwo-Jen Hwang; An-Chi Lin; Shao-Chen Chang – Interactive Learning Environments, 2024
Digital games have been used in various disciplines to enhance students' learning interest and effectiveness through the gaming contexts. However, most of the digital educational games use multiple-choice questions to confirm students' learning status, implying the challenge of understanding the actual learning status of students. Also, the gaming…
Descriptors: Game Based Learning, Academic Achievement, Student Behavior, Horticulture
Li, Juan; Li, Zhe; Liu, Shuo-Fang; Cheng, Meng – Interactive Learning Environments, 2020
Traditional methods for conducting performance evaluations of academic courses are somewhat limited in that they are unable to account for both quantitative and qualitative data. For example, the data used to assess student performance in a typical industrial design course are generally complex, multi-criteria, multi-variable, and frequently vague…
Descriptors: Student Evaluation, College Students, Industrial Education, Design
Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Yu, Fu-Yun – Interactive Learning Environments, 2019
In view of contribution-based pedagogy and observational learning theory, students' perceived uses, preferences, usage, and selection considerations with regard to citing peers' work were examined in an online learning environment targeting student-constructed tests. Data were collected from 84 fifth-grade students who participated in online…
Descriptors: Computer Assisted Testing, Student Developed Materials, Peer Evaluation, Test Items