Journal of Effective Teaching and Learning Practices

Current Issue

  • Open Access
  • Original Article

Use of MATLAB AI and MATLAB GPT for Teaching Material Preparation and Classroom Engagement Tools in Analog and Digital Communication Courses

Kartik Ramesh Patel

2026, 3(Special Issue 1), 89-96, 10.70372/jeltp.v3.sp1.13, None

In the Industry 4.0 era, the challenges to be overcome by engineering education are twofold: covering increasingly complex theoretical concepts and developing practical, hands-on skills. Analog and Digital communication courses are characterized by abstract mathematical foundations and intricate…

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  • Open Access
  • Original Article

From Teaching to Insight in 50 Minutes: AI-Supported Microteaching Analytics

1B M Bharath, 2Usha P, 3Danushaa Sri S V, 4Naresh Kumar Sharma

2026, 3(Special Issue 1), 83-88, 10.70372/jeltp.v3.sp1.12, None

This practice adds a fast, suitable AI layer to micro-teaching such that teaching, assessment, and feedback happen in the same class cycle. After a short lesson, students complete a five-item Google Form: four concept questions (multiple choice or short answer) plus a 1–5 self-rating on at…

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  • Open Access
  • Original Article

Innovative Use of AI‑Generated Animated Video Quizzing for Student Engagement in Theoretical Courses of Electrical Engineering

Franco Aldrin Menezes1

2026, 3(Special Issue 1), 78-82, 10.70372/jeltp.v3.sp1.11, None

This paper presents an innovative teaching–learning practice that integrates Artificial Intelligence (AI)-generated animated video quizzing with traditional learning pedagogies to improve engagement in theoretical courses of Electrical Engineering. Using InVideo, an AI-powered video creati…

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  • Open Access
  • Original Article

AI-Assisted Platform for Centralized Teaching and Learning Student Feedback Analysis

1*Shashi Kant Dargar, 2K. Rajesh, 3Abha Dargar, 4C. Sivapragasam, 5Kushvanth Yalamanchi, and 6Avulapati Giridhar

2026, 3(Special Issue 1), 69-77, 10.70372/jeltp.v3.sp1.10, None

In outcome-oriented higher education, feedback from students is essential to ensure the teaching–learning (T-L) quality and continual improvement. The majority of Higher Education Institutions (HEIs) still rely on manual analysis, despite the fact that feedback can often be collected onlin…

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  • Open Access
  • Original Article

From Biography to Broadcast: AI-Integrated Vodcasting as a Tool for Skill Enhancement in Higher Education

Vanaja Reddy Geedipally1

2026, 3(Special Issue 1), 57-68, 10.70372/jeltp.v3.sp1.9, None

Traditional pedagogy is increasingly being transcended by Heutagogy as Education 5.0 moves toward experiential, learner-driven frameworks. In alignment with this shift, the present study explores the effectiveness of AI-enhanced, vodcast-based learning in undergraduate engineering education. Res…

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  • Open Access
  • Original Article

Teach the AI - Vidyarthi Vijaya: Empowering Students Through Role Reversal in AI-Enabled Learning

Jai Ganesh M. N

2026, 3(Special Issue 1), 41-56, 10.70372/jeltp.v3.sp1.8, None

This paper presents an innovative pedagogical practice titled "Teach the AI - Vidyarthi Vijaya" that reverses traditional classroom dynamics by positioning students as teachers to an AI-powered chatbot. Implemented in an MBA Digital Marketing course with 12 students, this initiative em…

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  • Open Access
  • Original Article

Course Delivery Plan (CDP): An Effective and Comprehensive Teaching Aid

Dr. S. Lakshmi

2026, 3(Special Issue 1), 32-40, 10.70372/jeltp.v3.sp1.7, None

Course Delivery is a detailed lesson plan about how the entire course will be delivered in that term or semester including the outcomes expected, learning interventions planned and assessments to measure the achievement of outcomes. Student performance and student engagement in the course taught…

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  • Open Access
  • Original Article

Project-Based Gamification to Enhance English Language Learning

Sreejana S1

2026, 3(Special Issue 1), 24-31, 10.70372/jeltp.v3.sp1.6, None

English language learning is essential for engineering graduates, yet traditional instructional approaches often result in passive participation and reduced motivation. This study presents a project-based gamification model implemented through a 30-hour elective course, where engineering student…

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  • Open Access
  • Original Article

Transforming Teaching: Harnessing AI-powered Engagement Tools for Gen-Z Learners

Suraj Arvind Bollapragada1

2026, 3(Special Issue 1), 19-23, 10.70372/jeltp.v3.sp1.5, None

In education, classroom engagement tools have become essential for teachers to connect with Gen-Z students. In this digital era dominated by Artificial Intelligence (AI), classroom engagement tools have revolutionized education by transforming lessons into vibrant, participatory experiences that…

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  • Open Access
  • Original Article

AI-Enabled Instructional Material Development for Engineering Education

Kajal Thumar1, Homera Durani2 ,Anand Gujarati3

2026, 3(Special Issue 1), 15-18, 10.70372/jeltp.v3.sp1.3, None

The integration of Artificial Intelligence (AI) in higher education has transformed the preparation, delivery, and accessibility of instructional materials. Traditionally, faculty members spend significant time creating lecture notes, assessments, bilingual content, and visual materials. With AI…

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  • Open Access
  • Original Article

A Data-Driven Gamification Approach to Boost Student Motivation and Performance of Effective Teaching and Learning Practices

Majeti Srinadh Swamy 1

2026, 3(Special Issue 1), 7-14, 10.70372/jeltp.v3.sp1.2, None

Gamified, data-driven learning models are evolving engineering education into a dimensional, facilitating improved motivation, analytics, and contextualization. This research study presents the implementation of a machine learning-abled gamified model for the Computer Organization and Architectu…

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  • Open Access
  • Original Article

Teaching, Testing, Transforming: A Multi Faculty Experience with AI-Assisted Microteaching

1Naresh Kumar Sharma, 2Srinivasan Durairaj, 3Narayanan S, 4Jenyfal Sampson

2026, 3(Special Issue 1), 1-6, 10.70372/jeltp.v3.sp1.1, None

KARE–Teaching Learning Centre has operationalized a human-centric, tool-agnostic microteaching assisted by Artificial intelligence (MT–AI) model that breaks core topics into 10–15 minute micro-segments, couples AI-assisted preparation with visual pedagogy, and closes each loop …

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