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Mark D.

Mark D.

Lecturer (Faculty of Informatics), corpus-informed evaluation of AI-generated EFL listening materials

Japan flagOsaka, Japan

Key Skills

Software

Other

Top Subject Matter

EFL listening materials
generative AI evaluation
Educational technology and AI-supported teaching evaluation

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

TranscriptionTranscription
Text GenerationText Generation
Question AnsweringQuestion Answering
Evaluation/RatingEvaluation/Rating

Freelancer Overview

Lecturer (Faculty of Informatics), corpus-informed evaluation of AI-generated EFL listening materials. Brings 24+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Master of Arts, University of Birmingham (2013) and Certificate Course, FÁS (2003). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Lecturer (Faculty of Informatics), corpus-informed evaluation of AI-generated EFL listening materials

OtherTextText

Designed corpus-based comparisons between human-authored EFL listening texts and outputs from LLMs including ChatGPT, Gemini, and Claude. Evaluated linguistic features such as discourse markers, formulaic n-grams, lexical range, and conversational authenticity to assess how model-generated language reproduces authentic spoken discourse. Used findings to inform educational design and model evaluation considerations for generative AI in language learning contexts. • Human-authored vs. LLM-generated listening-text feature comparison • Authenticity and pedagogical usefulness evaluation • Linguistic feature annotation/assessment guidance for evaluation criteria • Research outputs informing EFL materials development and responsible AI use

2022 - Present

Part-time Lecturer, technology-enhanced EFL and evaluation work (incl. remote teaching)

OtherTextText

Conducted technology-enhanced language teaching research involving online assessment and AI-enabled classroom tools, with emphasis on evaluating learner/teacher experiences and effectiveness. Applied analysis of student and teacher responses to improve educational practices during and after emergency remote teaching. Integrated tools and platforms for data gathering and evaluation of instructional interventions. • Online assessment research and evaluation • Teacher/learner experience analysis for technology use • Evaluation of chatbot-assisted and AI-supported classroom activities • Informing iterative course design based on findings

2016 - Present

Education

U

University of Birmingham

Master of Arts, Teaching English to Speakers of Other Languages

Master of Arts
2008 - 2013
F

FÁS

Certificate Course, Software Development

Certificate Course
2002 - 2003

Work History

O

Osaka University

Part-time Lecturer

Osaka
2024 - Present
K

Kindai University

Lecturer

Higashiosaka
2022 - Present