(ALGS) ICELW 2020 June 10 th -12 th , New York, NY, USA AUTHORS - - PowerPoint PPT Presentation

BALANCING THE ROLE OF MACHINE LEARNING AND TEACHER IN ADAPTIVE LEARNING GUIDANCE SYSTEM (ALGS)

ICELW 2020 June 10th-12th, New York, NY, USA

AUTHORS

Ghada El-Hadad, Doaa Shawky and Ashraf Badawi

Zewail City of Science and Technology/Center for Learning Technologies, Giza, Egypt

AGENDA

■ Problem Statement ■ The Two Main Pillars That ALGS Rests Upon ■ Why Is The Teacher’s Role Crucial in Adaptive Learning Systems? ■ Why Is The CSCL Important in Adaptive Learning Systems? ■ The Role of ML in ALGS ■ The Role of The Teacher in ALGS

Problem Statement

▪ Relying solely on deep learning came along with some concerns including

motivation, procrastination, engagement and others.

▪Adaptive learning environments can have different flavors; some are intelligent

tutoring systems, and some others are learning analytics

▪ The novelty that ALGS is proposing is balancing the machine learning and the

human factor in an attempt to reduce this gap.

▪AI can perform tasks beyond human capabilities, which may result in

complexity as the system would generate adaptation suggestions that the teacher may not be able to interpret.

The Two Main Pillars That ALGS Rests Upon

▪ ALGS is based on the teacher and the computer-supported collaborative learning (CSCL). ▪ Human guidance, and computer supported collaborative learning are suggested to work side by side with AI

Ad Adapti ptive e Learning ng Guidan ance ce System em ALGS

LEARNIN NING G DECISI SIONS ONS REVIEW EW RECOMM OMMEND ENDAT IONS CONTEN ENT MODEL

Teache cher

DISCUSSION FORUMS TASKS GROUP WORK

CSCL CL

Stude udent nt Stude udent nt Stude udent nt

Why Is The Teacher’s Role Crucial In Adaptive Learning Systems?

▪ ALGS deploys the mentor’s physical existence with technology to maintain a healthy learning environment that corresponds to individual learners’ needs. ▪ Motivation, procrastination, engagement, and keeping cohesive learning environments online are noted as issues that can be better enhanced by personal relationships.

Why Is The CSCL Important In Adaptive Learning Systems?

CSCL contexts: ▪ Facilitate group interaction among learners. ▪ Enable learners to exchange ideas and help each other to understand the topics and answer the test questions in a collaborative way.

The Role of ML in ALGS

• Building a reliable User Model, which is the key

in the adaptation process, by collecting data about students’ actions and behavior patterns, and then analyzing these large datasets.

• Detecting any deviation in the behavior of each

learner from peer groups (CSCL feedback) and alarming the teacher to intervene accordingly.

• Generating

automated recommendations to students of the content they should study next based on analyzing students’ learning patterns and behaviors.

• Processing highly time-consuming analyses that

are beyond human capabilities.

• Tailoring

adaptive recommendations to individual learners’ needs based on the User Model.

The Role of The Teacher In ALGS

• Creating the database upon which the system

filtering function is based

• Feeding the system with data about learners

that result from face-to-face interaction in the classroom

• Suggesting an initial path since there are no

usage data stored yet in the system to adapt to particularly at the very early stages in ALGS

• Receiving system alarm and tracking the history
• f a particular student to interpret the rationale

behind such deviation or failure to cope with the peers

• Reviewing and refining the system-generated

recommendations

• Intervening and taking the proper action either

in class or feeding adaptive decisions to the system

• Creates content

nt model

(what at studen ents ts should d be learning) ning)

• Buil

ilds ds user r model

(from m psychome hometrics trics, CF, and CB Filteri ering) ng)

Mach chine ne

• Ge

Genera rates s re recommendatio mendations ns

(based on student’s interaction)

• Reviews

ws system m re recommenda ndations tions

• Makes learning

ning decisio sions ns

Teach cher er

STEP EP 1

Ad Adapti ptive e Learning ng Guidan ance ce System em ALGS

STEP EP 4 STEP EP 3 STEP EP 2

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[15] [10]G. El-Hadad, D. Shawky and A. Badawi, "Adaptive Learning Guidance System (ALGS)", in 10th International Conference on Learning Analytics and Knowledge, Frankfurt am Main, Germany, 2019.