Why Adult Learners Hesitate to Use Intelligent Tutors
Intelligent tutors offer flexibility, yet many adult learners struggle to adopt them.
Adit Gupta, Momin Siddiqui, Glen Smith, Jenn Reddig, Christopher MacLellan
― 6 min read
Table of Contents
In recent years, the education sector has been looking for new ways to help adult learners. These are people who might have taken a break from school or are returning to learn new skills. One of the popular solutions is the use of intelligent tutoring systems (ITS). These systems can provide personalized help to learners, almost like having a tutor in your pocket. So, what’s the deal with these Intelligent Tutors and why aren’t they soaring to new heights among adult learners?
What are Intelligent Tutors?
Intelligent tutors are computer programs designed to teach or assist students in learning certain subjects. They’re clever enough to give hints, offer feedback on work, and even adapt to where a student might be struggling. Think of them as a friendly guide in the complicated world of learning math or science. They can be accessed anytime and anywhere, making them quite appealing to busy adults juggling work, family, and education.
The Challenge of Adult Learning
Adult learners often face unique challenges when returning to education. Many have been out of the classroom for years, may feel intimidated by technology, or might be balancing multiple responsibilities. Traditional classroom settings may not cater to their needs. This is where intelligent tutors come in, offering flexible and personalized support. But despite having these helpful tools, many adult learners find it hard to adopt them.
Why Aren't Intelligent Tutors More Popular?
You might think that with all the bells and whistles intelligent tutors have, everyone would be clamoring to use them. However, that’s not the case. There are a few reasons why adult learners might hesitate to embrace these tools:
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Lack of Incentives: Unlike kids who might be motivated by grades or parental pressure, adults often don’t have the same push to use these resources. If there’s no external motivation, they might just put off using the tutors.
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Understanding the Technology: Some adults may feel overwhelmed by using new technologies, especially if they haven’t been in a classroom recently. The thought of learning how to use yet another platform can be enough to make some people sigh and choose to stay in their comfort zone.
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Training And Support: Adults may not have the same level of guidance as younger students do. Without proper training or support, they might struggle to understand how to navigate the intelligent tutoring systems effectively.
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Variable Teaching Methods: Different teachers have different styles, and if the technology doesn’t mesh well with how a particular instructor teaches, students may not find it beneficial.
The Study
To address these concerns, a study was conducted focusing on the needs and challenges of adult learners using intelligent tutors. The aim was to figure out how to make these systems work better for the adults who need them most.
The Approach
In this study, the researchers built four intelligent tutors tailored specifically for adult learners. These tutors covered key college algebra topics like exponents and polynomials, ensuring that the content was relevant and aligned with typical adult learning courses. The idea was to make the tutor user-friendly, offering features that would make learning easier.
They deployed these tutors in a state technical college over an academic year, allowing adult learners to use them at their discretion. This meant learners could choose whether or not to engage with the tutors based on their needs and preferences.
Gathering Insights
After deploying the tutors, the researchers wanted to gather feedback on how the adults felt about using them. They set up focus groups to understand user experiences better. Students and teachers shared their thoughts on what worked and what didn’t.
Key Findings from User Feedback
The feedback collected from the focus groups offered a treasure trove of insights. Some of the main points highlighted included:
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Flexibility is Key: Adult learners appreciated the ability to access help anytime, especially since they often have busy schedules. The notion that they could pop in for a little learning during lunch breaks or after work was a big hit.
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Need for User-Friendly Systems: As adults come from different educational backgrounds, having a straightforward and easy-to-navigate platform was essential. Many expressed frustration if the technology appeared daunting or complex.
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Desire for Human Interaction: Some learners pointed out that while having a digital tutor is fantastic, they also missed some human interaction. A little chatbox with a friendly human on the other side wouldn’t hurt!
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Onboarding Matters: Participants indicated that they would have benefited from better initial training or tutorials to understand how to make the most of the tutors. A step-by-step guide could go a long way in easing apprehensions.
Recommendations for Improvement
Based on the insights gathered, several recommendations emerged for improving intelligent tutoring systems for adult learners. These include:
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Incorporate Human Elements: Adding options for real-time chat with tutors or support staff could address the need for personal interaction.
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Align with Current Curriculum: Make sure the content of the intelligent tutors complements the materials being taught by instructors. This alignment could increase both usage and reception of the tutors.
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Clear Value Demonstration: Make the benefits of using intelligent tutors crystal clear. An example might be showing how much time a student might save or how quickly they could advance in their learning.
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Streamline Onboarding: An easier onboarding process with clear instructions could help adults overcome initial hurdles.
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Customization for Instructor Preferences: Allow teachers to tweak the intelligent tutoring systems to fit their teaching styles better. This would help garner buy-in from faculty and encourage them to promote the system to their students.
Conclusion
Intelligent tutoring systems have the potential to change the way adult learners engage with education by providing personalized and flexible support. However, challenges like lack of motivation, technology apprehension, and insufficient guidance have hindered their widespread adoption.
By understanding the specific needs of these learners and actively seeking their feedback, developers can create more user-friendly, engaging, and effective tools. With a little humor, a touch of flexibility, and a dash of clarity, intelligent tutors can surely become a trusted companion for adult learners aiming to boost their skills and knowledge.
As the education landscape continues to evolve, the focus on adult learners will be crucial in ensuring that everyone has access to learning opportunities that fit their lifestyle and needs. Let’s make those intelligent tutors the best learning partners they can be!
Title: Intelligent Tutors for Adult Learners: An Analysis of Needs and Challenges
Abstract: This paper aims to uncover needs of adult learners when using pedagogical technologies such as intelligent tutoring systems. Further, our aim with this work is to understand the usability challenges when deploying tutors at scale within the adult learning audience. As educational technologies become more ubiquitous within k-12 education, this paper aims to bridge the gap in understanding on how adult users might utilize intelligent tutors. In pursuit of this, we built four intelligent tutors, and deployed them to 110 classrooms at a state technical college for an entire academic year. Following this deployment, we conducted focus groups amongst users to gather data to understand how learners perceived the optional educational technology during their academic journey. We further analyzed this data using foundational HCI methodologies to extract leanings and design recommendations on how developers might craft educational technologies for adoption at scale for the adult learning population.
Authors: Adit Gupta, Momin Siddiqui, Glen Smith, Jenn Reddig, Christopher MacLellan
Last Update: 2024-11-19 00:00:00
Language: English
Source URL: https://arxiv.org/abs/2412.04477
Source PDF: https://arxiv.org/pdf/2412.04477
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to arxiv for use of its open access interoperability.