LearnSmart, adaptive teaching, and student learning effectiveness: An empirical investigation

Sun, Qin; Abdourazakou, Yann; Norman, Thomas J.

doi:10.1080/08832323.2016.1274711

Cited by 19 publications

(11 citation statements)

References 36 publications

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“…The blended learning model combines traditional classroom teaching and an e-learning system [2][3][4]. In this way, instructors combine the advantages of online education with traditional face-to-face teaching and thus enhance student learning [2], [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…The concept of blended learning has recently received much attention, and online teaching is increasingly a part of course delivery [2], [6]. As digital millennial college students are more comfortable with the online learning, blended learning became the trend in teaching models and learning styles and gradually replaced the traditional teaching and purely online learning [2], [6], [8][9][10].…”

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confidence: 99%

“…MGHE defined Connect as "a digital learning environment that integrates assignments, grading, and course content, making the entire course experience seamless while delivering better outcomes for students and educators (p.4) [23]." Part of the MGHE Connect platform is LearnSmart, which is an adaptive learning tool that can be used on top of fully online or on-campus courses at any university [6], [24]. Students can study each chapter of the course using LearnSmart designed to improve students' understanding of course contents through its online interactive plat-iJET -Vol.…”

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confidence: 99%

“…16, No. 03, 2021 87 form [6]. In order to prove the effectiveness of its Connect platform on student performance, case studies research was conducted in collaboration with MGHE in different institutions in the United States.…”

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confidence: 99%

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The Effect of McGraw-Hill Education Connect on Students' Academic Performance

Babtain

2021

Int. J. Emerg. Technol. Learn.

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This study aimed to investigate the effect of using McGraw-Hill Education (MGHE) Connect on students' academic performance. It examined the effects of MGHE Connect on the course letter grade, pass rate, retention rate, total score, and final exam score in addition to the proportions of having more A and B grades in the course. The study used a posttest-only control group design. The 95-student sample was selected by sampling four sections using a simple one-stage cluster method. Then two sections were randomly assigned as a treatment group (N=45), in which using MGHE Connect Chemistry was required to com-plete course assignments, quizzes, and tests, and the other two assigned as a con-trol group (N=40) in which students completed the course conventionally. The study used ordinal logistic regression, binomial logistic regression, and multiple linear regression. The study indicated that when controlling the effect of students' CGPA, there was no significant difference in the odds of having higher letter grades between the experimental treatment and control groups. Also, the experi-mental group did not significantly have a higher proportion of A and B grades compared to the control group. The course pass rates and the retention rates in both groups differed insignificantly. The total course score and the course final exam score did not differ significantly. The study findings of students' academic performance metrics in the study indicating no statistically significant positive ef-fect of the MGHE Connect on the student academic performance.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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The Effect of McGraw-Hill Education Connect on Students' Academic Performance

Babtain

2021

Int. J. Emerg. Technol. Learn.

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“…The components used in the development of the prototype can significantly cater to the needs of the teachers as well as the novice users. A few refinements have to be made in terms of feedback given by the users before it is decided to be commercialized and also taking into consideration the stages of a typical user interaction with a generic interaction system [5]. From the findings, it also realized that the amount of time, constraint and effort that a participant is undertaking depends on the usability, effectiveness and interactivity of a user interface which give a big impact in cognitive load.…”

Section: The Evaluation Of User Acceptance Towards the Developed Protmentioning

confidence: 99%

A Guideline for an Effective User Interface for Educational Semantic Application

Naidu¹,

Saad²

2018

IJMA

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This research aims to produce a guideline for an effective user interface for semantic application particularly educational. In order to develop the guideline, a methodology of four phases; analysis, design, development and evaluation has been applied. Qualitative approach was used by using checklist instrument and interview questions with the experts in system design. A prototype was then developed using the proposed guideline. The prototype was evaluated using qualitative approach based on heuristic evaluation instrument involving a sample of ten teachers of secondary level. The user acceptance for this system was compared to the one which has been developed without the guideline. The result shows that the system developed by the proposed guideline has higher acceptance. Seven of ten teachers agreed that the most important principle in user interface design is effectiveness specifically the simplicity, aesthetic and minimalist design. It is useful to develop an effective user interface using this guideline.

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Learning Environments in the 21st Century: A Mapping of the Literature

Kabudi¹,

Pappas²,

Oslen³

2020

IFIP Advances in Information and Communication Technology

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Education has been transformed by significant breakthroughs in AI, mobile internet, cloud computing and Big Data technologies. More personalized educational settings are developed by increasingly integrating contemporary learning environments with new technologies. However, few examples of executed AI enabled learning interventions have been identified. Therefore, a mapping of literature on AI enabled learning systems was done. 121 studies published in the last five years were analyzed. This paper presents a discussion regarding on what mainly AI enabled contemporary learning environments are designed to achieve. The major contribution of the study is bringing awareness to researchers and system developers on the purposes of AI enabled contemporary learning environments. This review will act as a guide for future studies on how to better design AI enabled learning environments.

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LearnSmart, adaptive teaching, and student learning effectiveness: An empirical investigation

Cited by 19 publications

References 36 publications

The Effect of McGraw-Hill Education Connect on Students' Academic Performance

The Effect of McGraw-Hill Education Connect on Students' Academic Performance

A Guideline for an Effective User Interface for Educational Semantic Application

Learning Environments in the 21st Century: A Mapping of the Literature

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