An Adaptive Feedback Framework to Support Reflection, Guiding and Tutoring

Author(s):  
Evangelia Gouli ◽  
Agoritsa Gogoulou ◽  
Kyparisia A. Papanikolaou ◽  
Maria Grigoriadou

In this chapter, an adaptive feedback framework (AFF) is proposed for the provision of personalized feedback accommodating learners’ individual characteristics and needs in the context of computer-based learning environments. Multiple informative, tutoring, and reflective feedback components (ITRFC) are incorporated into the framework, aiming to stimulate learners to reflect on their beliefs, to guide and tutor them towards the achievement of specific learning outcomes and to inform them about their performance. The proposed framework adopts a scheme for the categorization of learners’ answer, introduces a multi-layer structure and a stepwise presentation of the ITRFC and supports adaptation of the provided feedback both in the dimensions of adaptivity and adaptability. The adaptivity of the AFF is based on the gradual provision of the ITRFC and on the adaptive presentation of the ITRFC according to the learner’s knowledge level, preferences and interaction behaviour. The adaptability of the AFF enables learners to have control over the feedback presentation in order to guide the adaptive dimension of the framework. In the context of the Web-based concept map assessment tool referred to as COMPASS, the proposed framework has been adopted for the provision of personalized feedback in concept mapping tasks. A preliminary evaluation of the framework in the context of COMPASS showed that the AFF led the majority of the learners in reviewing their maps, reconsidering their beliefs and accomplishing successfully the underlying concept mapping task.

2008 ◽  
pp. 525-543
Author(s):  
Evangelia Gouli ◽  
Agoritsa Gogoulou ◽  
Kyparisia A. Papanikolaou ◽  
Maria Grigoriadou

In this chapter, an adaptive feedback framework (AFF) is proposed for the provision of personalized feedback accommodating learners’ individual characteristics and needs in the context of computer-based learning environments. Multiple informative, tutoring, and reflective feedback components (ITRFC) are incorporated into the framework, aiming to stimulate learners to reflect on their beliefs, to guide and tutor them towards the achievement of specific learning outcomes and to inform them about their performance. The proposed framework adopts a scheme for the categorization of learners’ answer, introduces a multi-layer structure and a stepwise presentation of the ITRFC and supports adaptation of the provided feedback both in the dimensions of adaptivity and adaptability. The adaptivity of the AFF is based on the gradual provision of the ITRFC and on the adaptive presentation of the ITRFC according to the learner’s knowledge level, preferences and interaction behaviour. The adaptability of the AFF enables learners to have control over the feedback presentation in order to guide the adaptive dimension of the framework. In the context of the Web-based concept map assessment tool referred to as COMPASS, the proposed framework has been adopted for the provision of personalized feedback in concept mapping tasks. A preliminary evaluation of the framework in the context of COMPASS showed that the AFF led the majority of the learners in reviewing their maps, reconsidering their beliefs and accomplishing successfully the underlying concept mapping task.


2017 ◽  
Vol 25 (5) ◽  
pp. 217-234 ◽  
Author(s):  
Andrew Thomas Bimba ◽  
Norisma Idris ◽  
Ahmed Al-Hunaiyyan ◽  
Rohana Binti Mahmud ◽  
Nor Liyana Bt Mohd Shuib

Adaptive support within a learning environment is useful because most learners have different personal characteristics such as prior knowledge, learning progress, and learning preferences. This study reviews various implementation of adaptive feedback, based on the four adaptation characteristics: means, target, goal, and strategy. This review focuses on 20 different implementations of feedback in a computer-based learning environment, ranging from multimedia web-based intelligent tutoring systems, dialog-based intelligent tutoring systems, web-based intelligent e-learning systems, adaptive hypermedia systems, and adaptive learning environment. The main objective of the review is to compare computer-based learning environments according to their implementation of feedback and to identify open research questions in adaptive feedback implementations. The review resulted in categorizing these feedback implementations based on the students’ information used for providing feedback, the aspect of the domain or pedagogical knowledge that is adapted to provide feedback based on the students’ characteristics, the pedagogical reason for providing feedback, and the steps taken to provide feedback with or without students’ participation. Other information such as the common adaptive feedback means, goals, and implementation techniques are identified. This review reveals a distinct relationship between the characteristics of feedback, features of adaptive feedback, and computer-based learning models. Other information such as the common adaptive feedback means, goals, implementation techniques, and open research questions are identified.


2007 ◽  
Author(s):  
Christine M. Lee ◽  
Clayton Nieghbors ◽  
Jason R. Kilmer ◽  
Mary E. Larimer

2019 ◽  
Vol 35 (5) ◽  
pp. 723-731 ◽  
Author(s):  
Gurdeep Singh ◽  
Dharmendra Saraswat ◽  
Naresh Pai ◽  
Benjamin Hancock

Abstract. Standard practice of setting up Soil and Water Assessment Tool (SWAT) involves use of a single land use (LU) layer under the assumption that no change takes place in LU condition irrespective of the length of simulation period. This assumption leads to erroneous conclusions about efficacy of management practices in those watersheds where land use changes (LUCs) (e.g. agriculture to urban, forest to agriculture etc.) occur during the simulation period. To overcome this limitation, we have developed a user-friendly, web-based tool named LUU Checker that helps create a composite LU layer by integrating multiple years of LU layers available in watersheds of interest. The results show that the use of composite LU layer for hydrologic response unit (HRU) delineation in 2474-km2 L’Anguile River Watershed in Arkansas was able to capture changed LU at subbasin level by using LU data available in the year 1999 and 2006, respectively. The web-based tool is applicable for large size watersheds and is accessible to multiple users from anywhere in the world. Keywords: Land use, Web-based tool, SWAT, LUU Checker.


2021 ◽  
Vol 20 (6) ◽  
pp. 969-982
Author(s):  
King-Dow Su

The presented research focuses on verifying the confluent application of concept mapping (CM) and socio-scientific issues (SSI) according to the value-laden and moral dilemma orientation to construct problem-solving performance. This research sets up some perspectives for all 146 participants, including 139 students and 7 experts. All findings reveal that the design of SSICM contexts includes a rebuttal process and incense claim to improve students' argument response (16.4%), to increase content knowledge and illuminate their science learning by argumentations. To develop an assessment tool with high validity and reliability (Cronbach's α > .9) and find positive presentations of all learning attitudes in the SSICM context, learning environment and results will concern the best argumentation process. Students’ interview responses and SWOT analysis of teachers indicate that SSICM's use of argument in the classroom is a real benefit. The research provided a better paradigm of attempts to combine analytical and academic hypotheses to explain literature sources by teachers, researchers, textbook developers, and editors. Keywords: concept mapping (CM), problem-solving, socio-scientific issues (SSI), SSICM contexts


2011 ◽  
Vol 23 (1) ◽  
pp. 68-77 ◽  
Author(s):  
Sara Kim ◽  
Doug Brock ◽  
Carolyn D. Prouty ◽  
Peggy Soule Odegard ◽  
Sarah E. Shannon ◽  
...  

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