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Pelatihan Model Pembelajaran Speaking dengan Communicative Approach Bagi Guru-Guru Bahasa Inggris di Kabupaten Lampung Selatan : INA Bambang Setiyadi; - Mahpul; Muhammad Sukirlan; Gede Eka Putrawan
Jurnal Sumbangsih Vol. 2 No. 1 (2021): Jurnal Sumbangsih
Publisher : LPPM Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsh.v2i1.35

Abstract

The speaking learning model with communicative approach has been widely adopted in various countries as a method of learning English because speaking learning with communicative approach proved effective to facilitate students actively involved in the learning process of English, especially speaking. The effectiveness / success of speaking learning by communicative approach as a way of English education in helping students improve speaking skills is evidenced by the discovery of some research tried in various countries where English as a foreign language. However, in Indonesia this method is still not popular and very few teachers or practitioners apply this method. Therefore, this community service activity aims to help English teachers in South Lampung Regency improve insight and knowledge about the development / creation of a speaking learning model based on communicative approach through training and workshops by presenting material development of task-based speaking teaching materials theoretically; and conduct simulations of the development of task-based speaking teaching materials. The results of the training showed that the participants of this training gained real efficacy is an increase in professionalism in order to be able to correct the quality of the English education process, especially speaking so that the dialogue skills of students in schools face an increase. Prolonged similar training in the future still really needs to be tried.
Pelatihan Pembuatan Bahan Ajar Speaking Berbasis Rekayasa Faktor Kognitif (Task Complexity) bagi Guru-Guru SMA/SMK Di Kabupaten Pringsewu : INA - Mahpul; Bambang Setiyadi; Muhammad Sukirlan; Gede Eka Putrawan
Jurnal Sumbangsih Vol. 2 No. 1 (2021): Jurnal Sumbangsih
Publisher : LPPM Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsh.v2i1.36

Abstract

Task complexity-based learning approaches have been widely adopted in countries especially where English is a foreign language, Chinese, Japanese, Arabic, Iranian, and Korean. However, most English teachers do not yet understand the method of learning English based on task complexity so they lack confidence in applying the method.. Therefore, this community service activity aims to increase insight and knowledge about the development / creation of a speaking learning model based on cognitive factor engineering (task complexity). This activity will target English teachers at high school / vocational school in Pringsewu Regency and is expected to improve their professionalism to improve the quality of the English learning process, especially speaking. This activity will be carried out with lecture methods, discussions, practices, and simulations that will begin with a pre-test and end with a post-test. Based on initial and final abilities, there are quite real differences before and after the training is done. To that end, this training has been able to improve the insight and Manufacture of Teaching Materials Based on Cognitive Factor Engineering (Task Complexity). Some participants showed that the enthusiasm and belief of the participants that the Manufacture of Speaking Teaching Materials Based on Cognitive Factor Engineering (Task Complexity) has a positive impact to develop students' ability to master their English learning in the classroom.
Online Collaborative Learning With Deep Learning In Fostering Critical Thinking And Motivation: Meta Synthetic Analysis Novarita Novarita; Abdurrahman Abdurrahman; Cucu Sutarsyah; Budi Kadaryanto; Bambang Setiyadi
ISEJ : Indonesian Science Education Journal Vol. 7 No. 2 (2026): February-May
Publisher : Yayasan Darussalam Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62159/isej.v7i2.2052

Abstract

Online learning has expanded rapidly, yet many digital courses still struggle to cultivate sustained motivation and higher-order thinking because interaction is often limited to content delivery, fragmented discussion, or individual task completion. This article develops an integrative meta-synthesis on how Online Collaborative Learning (OCL), when supported by deep-learning-enabled artificial intelligence (AI), can strengthen critical thinking and learner motivation in higher education. The review synthesizes theoretical and empirical literature on OCL, computer-supported collaborative learning, learning analytics, adaptive feedback, and self-determination theory. Rather than treating AI as a replacement for pedagogy, this article conceptualizes deep learning as an adaptive scaffolding layer that can support peer dialogue, feedback, grouping, early-warning signals, and personalized learning paths. The synthesis identifies four mechanisms through which OCL-AI integration may enhance learning: argumentative knowledge construction, socially shared regulation, adaptive formative feedback, and motivational need support. The article also argues that these benefits are conditional on ethical data governance, transparent algorithms, teacher facilitation, and equitable access to digital infrastructure. The proposed framework contributes to online pedagogy by clarifying the relationship between social collaboration and machine-supported personalization. It offers practical design principles for lecturers, instructional designers, and higher education institutions seeking to develop online learning environments that are cognitively challenging, motivationally supportive, and ethically responsible.