A Developmental Psychologist Is Begging Parents and Grandparents To Stop Giving Kids This Type of Toy
A Developmental Psychologist Is Begging Parents and Grandparents To Stop Giving Kids This Type of Toy originally appeared on Parade.
Parade aims to feature only the best products and services. If you buy something via one of our links, we may earn a commission.
When kids are at home, it can be tricky to find ways to keep them entertained that are fun, safe and affordable. Besides running outside in the sprinkler, drawing with markers and colored pencils, or handing over that beloved tablet (AKA the villain in the upcoming Toy Story movie), many of us turn to toys as well. But not all toys are created equal when it comes to child development., developmental psychologist, best-selling author and host of the Raising Good Humans podcast (with over 350k IG followers), understands the struggle of keeping children engaged with activities that benefit them. She actually recently endorsed the "fun and educational" collection, Wonder Factory, and is sharing more about how it 'enhances fine motor skills, encourages problem-solving and supports emotional regulation.' But first, Dr. Pressman tells Parade which type of toy she's begging parents and grandparents to stop giving their children and grandchildren, and what negative impact it has on kids. Plus, she reveals why play time is so beneficial and is *so much more* than "just playing."Related:
"Avoid overly stimulating electronic toys which can actually undermine creativity and self-regulation skills," Dr. Pressman warns. "Parents and grandparents should look for toys that aid in kids' development through more open-ended play, problem solving and pretend play," she continues. "Sensory rich toys that engage touch, movement and imagination are what you should be adding to your cart."Related:
So, once again, there are some toys that experts warn against, and others that come highly recommended. "Sensory toys, age-appropriate puzzles, blocks, toys without batteries, and anything that engages in pretend and problem solving tend to be best for developing brains," Dr. Pressman stresses.
And one "top parenting tool" she's specifically recommending right now is Wonder Factory, which is sold exclusively at Walmart."The brand offers moldable, shapeable dough and sand for sensory play," she shares. "The containers themselves are part of the play experience with patterns, stamps and more, offering endless ways to play and a world of possibilities for kids. Kids can even mix and match the sand and dough to create their own textures and colors."This collection "encourages hands-on, screen-free sensory play—all of which helps with early learning, problem solving and emotional regulation," she continues. "It also offers peace of mind to parents knowing it's a non-toxic, gluten-free compound built to last and never dries out."Related:
"Play seems to have become something that is done after more structured or perceived productive learning," Dr. Pressman explains about play time not always being prioritized these days. "But the truth is, play IS learning and much more effective learning for younger children."
And as parents and grandparents, it's even helpful to join in on the activities.
"Some parents feel guilty that they are 'just playing' when in fact, they are building emotional and intellectual connections," she explains. "Make a habit to schedule uninterrupted, child-led, play time—during this time, ditch phones and let your child lead. Get them in front of toys that foster autonomous, open-ended play."
You might be surprised how much you enjoy it as well!
Up Next:A Developmental Psychologist Is Begging Parents and Grandparents To Stop Giving Kids This Type of Toy first appeared on Parade on Jun 17, 2025
This story was originally reported by Parade on Jun 17, 2025, where it first appeared.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles

Wall Street Journal
22 minutes ago
- Wall Street Journal
Assisted Suicide Heralds a Culture of Despair
Your editorial 'New York's Assisted-Suicide Mistake' (June 11) captures what many of us have experienced up close. My grandfather James Powell helped pass the nation's first 'death with dignity' law in Oregon, occasionally appearing in TV ads in support of the measure. Years later, after an agonizing battle with lymphoma, he drank a lethal dose of barbiturates, prescribed by a physician. I was there along with many family members, and while I remember my grandpa with overwhelming affection, his last act has always struck me as wrong. How to describe the feeling of watching your hero kill himself, being watched by his family, those ordinarily expected to protect him? I can't help but reflect on how there were hours left unlived, words left unsaid, kisses left unshared. We were poorer for his choice and so, I think, was he. It is ironic that many people who oppose capital punishment, war and other state-sanctioned violence support euthanasia. Their ethic inevitably falls back on 'choice' and 'autonomy' as its ultimate visions of moral good. Never mind that these two things will inevitably be taken from us. The shape of our final days, months or even years are inexplicably valuable. They have the potential to enrich others' lives in ways we can't anticipate.

Wall Street Journal
22 minutes ago
- Wall Street Journal
Defending RFK Jr.'s Adviser
In your editorial 'Meet RFK Jr.'s Vaccine Advisers' (June 13), you write of the secretary's new plans for the Advisory Committee on Immunization Practices: 'One appointee, Retsef Levi, is an MIT business school professor of operations management. What does he know about vaccines?' Allow me to rise to my colleague's defense. The members of ACIP don't develop vaccines. They are charged with assessing their safety and efficacy. That is done through statistics and data science, areas in which Mr. Levi excels. His assessments will be conducted through vaccine trials, using a statistically significant number of participants and correlating the efficacy with a host of variables such as age, comorbidity, gender and dosage. The primary tool available to the researchers is statistical modeling. Only after discovering correlations may medical researchers try to explain them, but that is a secondary part of the trials.


Forbes
32 minutes ago
- Forbes
The Data Tsunami In Today's Interoperable And AI World
David Lareau is CEO of Medicomp Systems, which makes medical data relevant, usable and actionable. getty Artificial intelligence (AI) systems have seemingly taken healthcare—and perhaps the world—by storm, showing great promise for revolutionizing care, research, workflows and more. As the industry evaluates what's AI hype versus true potential, one thing about AI has become clear: It generates a massive amount of data—which for healthcare creates both opportunities and challenges. Now that interoperability pipes are live and data is flowing between healthcare organizations, providers are managing a tsunami of incoming data. With AI and large language models (LLMs), it has become easier to generate even more data, which means the problem has just worsened. And unlike a regular tsunami, healthcare's giant wave of incoming data is not a one-time event. The data will continue to accumulate. What are healthcare organizations to do to keep from drowning in all the data? Despite early hopes that AI might solve data challenges, the bloom is now off that rose and users are realizing that AI needs to be a bit more reliable, accurate and trustworthy for critical healthcare tasks. Accurate clinical records are vital for patient care, reimbursement and operational efficiencies. When a physician creates a clinical note, they are responsible for ensuring the documentation is accurate and complete. With interoperability, we now have a wealth of additional clinical information coming from other clinicians, hospitals, labs, HIEs and other sources. While, on the surface, more information seems powerful, clinicians now need to figure out if the incoming data is accurate and what pieces are relevant for the patient in front of them. In other words, if clinicians are responsible for the incoming tsunami of data, how can they efficiently verify and manage it all? Consider the impact of AI-assisted documentation tools, which aim to optimize workflows, reduce documentation times and relieve physician burnout. Their output, however, is only as good as the data being fed into the systems. If a healthcare organization is building AI initiatives using data from a repository filled with errors or gaps, the resulting output will be flawed. Transparency is thus essential when it comes to AI data. When documentation is created through AI, healthcare providers need to understand the source of truth behind an assessment or recommendation so they can quickly identify potential errors that might impact patient care. Another limitation of conversational AI is the inability to create structured data. While these tools may be excellent at creating narrative text, they often fail to create the structured clinical data needed for analytics, regulatory compliance and quality metrics. AI-assisted documentation tools also rely heavily on summarization, which can be beneficial when trying to quickly make sense of a compilation of dozens of multiple-page medical records. LLMs, however, are trained to identify the next logical word, with very little reasoning behind them. To drive accuracy, these models should be trained on expertly curated clinical content using advanced algorithms. AI is also imperfect for coding, especially when derived from erroneous or incomplete documentation. Incorrect diagnosis and procedure codes can create downstream problems, including denied claims, inaccurate reimbursement and inappropriate follow-up patient care. Healthcare enterprises using AI to generate content that becomes part of a patient's medical record should consider the following: 1. Who is responsible for the final review and approval of AI-generated content that becomes part of a medical record? 2. Where in the workflow does this happen, and how are changes or corrections made and communicated to all members of the care team? 3. Organizations should consult with clinical users to obtain agreement on how information is presented, enabling those who sign off on care plans to view documentation and, if necessary, act upon the information presented to them. 4. The organization should implement a feedback loop so users can let system and workflow designers know of issues with AI-generated content and suggest refinements and improvements. To effectively manage today's tsunami of clinical data, especially in this era of interoperability and AI, clinicians need tools that can transform huge volumes of clinical data into a source of truth. This requires technologies that leverage trusted, curated clinical content to validate AI-generated outputs. To be useful for clinicians at the point of care, these tools should also sort and filter data and create structured, discrete information that is mapped to standard terminologies, value sets and reporting formats. Healthcare's data tsunami is not going away. However, by embracing tools that pair with AI outputs to improve data quality, clinicians can be empowered with rapid access to accurate and actionable data that enhances patient care. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?