Emergence of AI in Education: Technologies, Benefits, and Challenges
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Essay
AI Summary
This essay explores the multifaceted role of Artificial Intelligence in Education (AIED). It begins by examining the technological and pedagogical foundations of AI's emergence, including machine learning, natural language generation, and the influence of digital resources. The essay then delves into the practical implementation of AIED, highlighting benefits such as automated grading, personalized learning, and support for both teachers and students. Furthermore, it addresses emerging issues and challenges, including technical risks, ethical concerns like unemployment and inequality, and the limitations of AI in replicating human behavior and emotion within the educational context. The essay uses relevant references to support its claims and provides a comprehensive overview of AI's impact on education.

1. What Technological and pedagogical are behind the emergence of AI in
education?
The intelligence demonstrated by machines refers as Artificial Intelligence. The concept of
AI was emerged simultaneously with the emergence of programmable digital computer
during Dartmouth conference in 1956 (Wenger, 2014). The core concept of the technology
has emerged from theories in Psychology, Cognitive Science, and Logic and so on. Several
technological and pedagogical has played major role in rapid emergence of AI such as
Machine Learning Algorithms, Natural Language generation (NLG) , Robotic Process
Automation(RPA), Virtual Agents, Speech Recognition and many more.
In education AI is gaining popularity any technical giant such as IBM, Microsoft, Apple,
Google are working toward future education technology, the uses of internet, Smartphone,
leaning apps, advance search engine are already used by many learners for their study
purpose . Digital study materials, advance graphic and multimedia learning tools are major
components behinds emergence of AI in education (Roll & Wylie, 2016). There is a constant
effort towards creating mentors for every leaner.
2. How is AIED being implemented, what benefits are being realised?
There is a huge potential of AI in education. AIED is an interactive methods which uses
sophisticate algorithm to coordinate the interaction with the students that deliver educational
resources and learning activities to deal with the distinctive needs of each learner (Pinkwart,
2016). The implementation of AI in education can be done by using internet in distance
learning, Adaptive learning Game Design) ALGAE, multimedia instructional model and
many more tools (Walker & Ogan).
Potential benefits by implementation of AI in Education are:
Automated Grading: AI system has developed ability to generate automate grading of
multiple choice material , it is most likely that in future the technology will able to grade
various standardized assessments.
Teacher and Students Support: Various routine task can be managed by AI that facilitate
teacher to connect with students very smartly, at the same time AI companion Students able
to know their personal history regarding teaching (Pinkwart, 2016).
education?
The intelligence demonstrated by machines refers as Artificial Intelligence. The concept of
AI was emerged simultaneously with the emergence of programmable digital computer
during Dartmouth conference in 1956 (Wenger, 2014). The core concept of the technology
has emerged from theories in Psychology, Cognitive Science, and Logic and so on. Several
technological and pedagogical has played major role in rapid emergence of AI such as
Machine Learning Algorithms, Natural Language generation (NLG) , Robotic Process
Automation(RPA), Virtual Agents, Speech Recognition and many more.
In education AI is gaining popularity any technical giant such as IBM, Microsoft, Apple,
Google are working toward future education technology, the uses of internet, Smartphone,
leaning apps, advance search engine are already used by many learners for their study
purpose . Digital study materials, advance graphic and multimedia learning tools are major
components behinds emergence of AI in education (Roll & Wylie, 2016). There is a constant
effort towards creating mentors for every leaner.
2. How is AIED being implemented, what benefits are being realised?
There is a huge potential of AI in education. AIED is an interactive methods which uses
sophisticate algorithm to coordinate the interaction with the students that deliver educational
resources and learning activities to deal with the distinctive needs of each learner (Pinkwart,
2016). The implementation of AI in education can be done by using internet in distance
learning, Adaptive learning Game Design) ALGAE, multimedia instructional model and
many more tools (Walker & Ogan).
Potential benefits by implementation of AI in Education are:
Automated Grading: AI system has developed ability to generate automate grading of
multiple choice material , it is most likely that in future the technology will able to grade
various standardized assessments.
Teacher and Students Support: Various routine task can be managed by AI that facilitate
teacher to connect with students very smartly, at the same time AI companion Students able
to know their personal history regarding teaching (Pinkwart, 2016).
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Identify the weakness in the classroom: The sophisticate AI integrated classroom able to
identify the students who miss certain topic or lessons that can be re-taught by the teachers.
Provide personalized help: AI can provide students with added tools that help them in
reinforcing skills or master ideas.
Meet the learner’s needs: AI can help the learner with special needs by adapting the learning
materials.
3. What are some of the emerging issues and challenges around the topic of
AIED?
There are both technical and ethical emerging issues and challenges regarding AIED some of
them are:
Technical issues:
Ensure trustful use of internet and AIED technology.
Addressing technical risk in vast IT supported networks and intervention strategies
(Kay,2012).
Developing high-level interaction methods
Some ethical issues are:
Unemployment: Unemployment in teaching industry due to automation of education process
is one of the major issues in AIED.
Inequality and monopoly: in this critical economic system there is possibility of widening
wealth gap (Kay,2012). Wealthy people who are able to afford sophisticate technology can
take control over education system and capture large portion of the economic surplus.
Lack of human behaviour and emotion: this is most genuine issues regarding AIED. The AI
is most likely to become very interactive but still without human behaviour and emotion the
education system can become very dull.
identify the students who miss certain topic or lessons that can be re-taught by the teachers.
Provide personalized help: AI can provide students with added tools that help them in
reinforcing skills or master ideas.
Meet the learner’s needs: AI can help the learner with special needs by adapting the learning
materials.
3. What are some of the emerging issues and challenges around the topic of
AIED?
There are both technical and ethical emerging issues and challenges regarding AIED some of
them are:
Technical issues:
Ensure trustful use of internet and AIED technology.
Addressing technical risk in vast IT supported networks and intervention strategies
(Kay,2012).
Developing high-level interaction methods
Some ethical issues are:
Unemployment: Unemployment in teaching industry due to automation of education process
is one of the major issues in AIED.
Inequality and monopoly: in this critical economic system there is possibility of widening
wealth gap (Kay,2012). Wealthy people who are able to afford sophisticate technology can
take control over education system and capture large portion of the economic surplus.
Lack of human behaviour and emotion: this is most genuine issues regarding AIED. The AI
is most likely to become very interactive but still without human behaviour and emotion the
education system can become very dull.

Reference:
Kay, J. (2012). AI and education: grand challenges. IEEE Intelligent Systems, 27(5), 66-69.
Pinkwart, N. (2016). Another 25 years of AIED? Challenges and opportunities for intelligent
educational technologies of the future. International journal of artificial intelligence in
education, 26(2), 771-783.
Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in
education. International Journal of Artificial Intelligence in Education, 26(2), 582-599.
Walker, E., & Ogan, A. (2016). We’re in this together: Intentional Design of Social
Relationships with AIED systems. International Journal of Artificial Intelligence in
Education, 26(2), 713-729.
Wenger, E. (2014). Artificial intelligence and tutoring systems: computational and cognitive
approaches to the communication of knowledge. Morgan Kaufmann.
Kay, J. (2012). AI and education: grand challenges. IEEE Intelligent Systems, 27(5), 66-69.
Pinkwart, N. (2016). Another 25 years of AIED? Challenges and opportunities for intelligent
educational technologies of the future. International journal of artificial intelligence in
education, 26(2), 771-783.
Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in
education. International Journal of Artificial Intelligence in Education, 26(2), 582-599.
Walker, E., & Ogan, A. (2016). We’re in this together: Intentional Design of Social
Relationships with AIED systems. International Journal of Artificial Intelligence in
Education, 26(2), 713-729.
Wenger, E. (2014). Artificial intelligence and tutoring systems: computational and cognitive
approaches to the communication of knowledge. Morgan Kaufmann.
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