An Adaptive Feedback System to Improve Student Performance Based on Collaborative Behavior

Hassan, Muhammad; Habiba, Ume; Khalid, Hina; Shoaib, Muhammad; Arshad, Shazia

doi:10.1109/access.2019.2931565

Cited by 37 publications

(15 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…By providing comments on student performance and current actions, a significant increase in student participation is achieved in any learning activity [6]. In [7] they found that adaptive feedback based on the collaborative behavior of students improved both student performance and their level of commitment.…”

Section: Introductionmentioning

confidence: 99%

Gamification and Computer Science Students’ Activity

et al. 2020

View full text Add to dashboard Cite

Students' participation and motivation are of great importance in their learning process. The decrease in attendance and difficulties in stimulating students' activity makes it necessary to find new methodologies that can solve these problems. The use of game mechanics in non-ludic environments (Gamification) has begun to be of great interest in research, since it could increase the motivation and therefore the activity of the students. This study tries to verify if there is an existing relationship between gamification and a possible increase in student activity or between the cessation of gamification and student activity. In addition, it evaluates whether a greater student activity corresponds to a greater learning improvement. In the obtained results, no significant differences were found between the methodology or the activity with a learning improvement. According to the study, the simple use of gamified elements does not necessarily imply a solution to the problems posed. The students' activity in a course of these characteristics does not imply a better learning improvement, the importance lies in the quality of the activity generated and not in the quantity.

show abstract

Section: Introductionmentioning

confidence: 99%

Gamification and Computer Science Students’ Activity

et al. 2020

View full text Add to dashboard Cite

show abstract

“… Adaptive and personalized feedback Feedback plays a crucial role in students learning. The lack of feedback is one of the determining factors of student’s dropout [ 58 ]. The report of students’ work is considered a key element for quality in teaching [ 59 ].…”

Section: Discussionmentioning

confidence: 99%

Gamifying model-based engineering: the PapyGame experience

et al. 2023

View full text Add to dashboard Cite

Modeling is an essential and challenging activity in any engineering environment. It implies some hard-to-train skills such as abstraction and communication. Teachers, project leaders, and tool vendors have a hard time teaching or training their students, co-workers, or users. Gamification refers to the exploitation of gaming mechanisms for serious purposes, like promoting behavioral changes, soliciting participation and engagement in activities, etc. We investigate the introduction of gaming mechanisms in modeling tasks with the primary goal of supporting learning/training. The result has been the realization of a gamified modeling environment named PapyGame. In this article, we present the approach adopted for PapyGame implementation, the details on the gamification elements involved, and the derived conceptual architecture required for applying gamification in any modeling environment. Moreover, to demonstrate the benefits of using PapyGame for learning/training modeling, a set of user experience evaluations have been conducted. Correspondingly, we report the obtained results together with a set of future challenges we consider as critical to make gamified modeling a more effective education/training approach.

show abstract

“…From a learning environment point of view, the approaches of Hassan et al [PA24] and Padilla-Zea et al [PA8] present two general architectures to aid in tailored education. The proposed system in [PA24] implements an intelligent bot instructor that provides adaptive feedback to students by indicating the areas in which students are weak. It also presents certain activities to the students, along with appropriate incentives for the user type (self vs. social).…”

Section: Adaptability Building Tools or Frameworkmentioning

confidence: 99%

“…Other articles approach adaptation through the adaptive content generation. Examples of this content are graphical, like new weapons in a galactic arms race [PA1], new jigsaw pieces in [PA11], additional obstacles in [PA4] and [PA20]; learn tasks or questions using the mistaken personal items of the player and a representation of a learning path [PA3] [PA23]; adaptive feedback [PA24]; and plot generation through collaborative filtering [PA7].…”

Section: Rq3: What Gamification Elements Have Been Used In Gamified Collaborative Systems?mentioning

confidence: 99%

“…In the first case, the model is set through an explicit definition of the user's role, which can be understood as a game personalization, normally through a self-definition questionnaire ([PA17] and [PA25]). In the second case, the user preferences are constantly estimated, where the player type is determined by the activities attempted by him/her and time spent on them ([PA3] and [PA24]).…”

Section: Rq5: User Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive gamification in Collaborative systems, a systematic mapping study

Ayastuy

Torres

Fernández

2021

Computer Science Review

View full text Add to dashboard Cite

Mass collaboration mediated by technology is now commonplace (Wikipedia, Quora, TripAdvisor). Online, mass collaboration is also present in science in the form of Citizen Science. These collaboration models, which have a large community of contributors coordinated to pursue a common goal, are known as Collaborative systems. This article introduces a study of the published research on the application of adaptive gamification to collaborative systems. The study focuses on works that explicitly discuss an approach of personalization or adaptation of the gamification elements in this type of system. It employs a systematic mapping design in which a categorical structure for classifying the research results is proposed based on the topics that emerged from the papers review. The main contributions of this paper are a formalization of the adaptation strategies and the proposal of a new taxonomy for gamification elements adaptation. The results evidence the lack of research literature in the study of adapting gamification in the field of collaborative systems. Considering the underlying cultural diversity in those projects, the adaptability of gamification design and strategies is a promissory research field.

show abstract

An Adaptive Feedback System to Improve Student Performance Based on Collaborative Behavior

Cited by 37 publications

References 18 publications

Gamification and Computer Science Students’ Activity

Gamification and Computer Science Students’ Activity

Gamifying model-based engineering: the PapyGame experience

Adaptive gamification in Collaborative systems, a systematic mapping study

Contact Info

Product

Resources

About