Designing Intelligent Support Based-on Learning Analytics in a Collaborative Learning Environment and its Effect on Developing Achievement and Achievement Motivation among Professional Bachelor Students in the Digital Educational Technology Program

Said Sayed Taha, Ghada; El-Gazzar, Abdullateef; Soufy, Shaimaa Youssef

doi:10.21608/buhuth.2025.359927.1821

Designing Intelligent Support Based-on Learning Analytics in a Collaborative Learning Environment and its Effect on Developing Achievement and Achievement Motivation among Professional Bachelor Students in the Digital Educational Technology Program

Document Type : Academic research papers

Authors

¹ Faculty Of Specific Education-fayoum university

² استاذ تکنولوجيا التعليم والمعلومات- کلية البنات - جامعة عين شمس

³ Department of Education Technology, Faculty of Specific Education, Fayoum University, Egypt

10.21608/buhuth.2025.359927.1821

Abstract

The current research aims to design intelligent support (Intelligent Agent) based on learning analytics in a collaborative learning environment and to explore its Effect on Developing achievement and achievement motivation in the Virtual Environments course among fourth-year students in the Digital Educational Technology program at the Blended Learning Center, Fayoum University. To achieve this goal, a list of criteria was developed for designing a collaborative learning environment in light of intelligent support design. The study employed Elgazzar's developmental research methodology (2014), which integrates three consecutive research approaches: the descriptive research approach, the systemic development research approach, and the experimental research approach. The research sample consisted of 36 students who were randomly assigned to a single extended experimental group with pre-testing to measure achievement levels and achievement motivation, followed by post-testing for both variables. The collaborative learning environment was designed based on intelligent support design (Intelligent Agent) using Elgazzar's model (2014). The measurement tools included an achievement test to assess the cognitive aspects of the Virtual Environments course (74 items) and an achievement motivation scale (67 items). The research experiment and measurement tools were applied pre- and post-intervention, and raw scores were collected and statistically analyzed using SPSS. The research results were then presented and interpreted, addressing the research questions and verifying the research hypotheses. The findings confirmed the effectiveness of the intelligent support design based on learning analytics in a collaborative learning environment in developing cognitive achievement in the Virtual Environments course and improving achievement motivation

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